It engineer jobs in California - Page 6

Location San Francisco, CA (HQ) — in-person most days with flexibility when you need it. Must be authorized to work in the U.S. At Second Nature, we are driven by a mission to help individuals live more seamlessly by designing software that intuitively understands and caters to daily needs. Our vision challenges the limitations of current technology, shifting the dynamic from one that demands user effort to one that works effortlessly for you. We strive to create a world where technology simplifies and enhances life naturally and quietly. Our first product, Poppy, is a proactive consumer companion that lives on your iPhone. Poppy plugs into your calendar, email, music, fitness level, and many more integrations to nudge you with helpful suggestions throughout your day. This is a full-time, on-site Founding AI Engineer role based in San Francisco, CA. We're looking for a builder‑researcher hybrid who's shipped LLM products in production, obsesses over latency graphs, can whip up a jaw‑dropping demo in a weekend hack, and ship it to production the following week. The Founding AI Engineer will play a key role in developing and improving the agentic AI architecture that powers Poppy. Responsibilities include building and running evals, implementing state-of-the-art agentic architectures that balance quality, cost, and latency, and solving complex pattern recognition challenges. You will work closely with the founding team to shape the company's core offerings and technological foundation. * Jump straight into the codebase and immediately begin improving our architecture to make Poppy more accurate and fast * Orchestrate LLMs across our in-house context engine, aiming to achieve sub-500ms end‑to‑end latency. * Build eval pipelines, orchestration graphs, workflows, and kick off on‑device inference pilots * Proficiency in Computer Science and Software Development * Strong expertise in orchestrating cloud-based LLM's * Deep intuition for latency/accuracy/cost trade‑offs. * Experience in building and deploying Python on the web * Ability to collaboratively design algorithms and systems * Passion for innovative technology and crafting user-centric solutions * Experience in a startup environment is a plus

Look around you today, every store, home, hospital, school, was made possible by the coordination of architects and a team of professionals. They are charged with the responsibility of creating our shelters and yet, they are left with nothing more than Excel to manage their work. We're here to change that. Monograph is a firm performance management platform for architecture and engineering practices. Firms use Monograph to make quick and confident decisions about budgeting and resources to drive their practices forward. People first: Core to the team, we believe in people first, curiosity, and empathy. You'll be a culture ambassador and deploy your genuine value for relationships to drive success and happiness. Build a company that will redefine architecture: Project management is just the beginning...we have big ambitions to help facilitate the entire design process from becoming the document source of truth to coordinating with consultants. You can shape the future of building design. Work with some of the best product people in the world: We’re an innovative team of highly productive individual contributors with a strong design background. You will be doing some of the best work of your life. We are ready to bring on our first AI engineer, dedicated fully to this function. • Currently in the SF area (required) and open to joining a remote-first team, eventually coming in office to collaborate about 1x per week, • A generalist who takes pride in your work and seeks impact in what you deliver, • React/Typescript and Ruby on Rails experience, • Familiarity with GraphQL, • Effective written and verbal communication, • Mid to senior level startup experience, • Next.js frontend web app, • Ruby on Rails backend web app, • GraphQL, • React native / Expo mobile app, • Postgres, redis, • Spend time learning about the industry we serve. A significant portion of our team has worked in architecture or architecture-adjacent industries, so there’s a wealth of knowledge on tap!, • Provide technical mentorship to a teammate., • Work with your product and engineering peers to scope, deliver, test, and maintain features that delight our customers., • Estimate project work, to set or reset expectations with your teammates., • Spend time 1:1 with your manager and other Monograph leaders, sharing your experience and working together to help you reach your growth goals., • Contribute to decision-making through our RFC process. We use RFCs to collaborate on our process and technical decisions., • Perform compassionate code reviews, seeking opportunities to learn and teach., • Track down and fix pesky bugs. We’re always looking for ways to improve the product!, • Collaborate closely with customer-facing teams to ensure our users continue to love our product., • Write and ship code in our Next.js and Rails applications., • Contribute to our engineering culture by giving a presentation, or sharing something you’ve read., • Spend time with your teammates, whether in a pairing session, a “coffee, cookies, and code” meeting, or regular team syncs., • Share your weekly goals with your teammates, and review their goals with an eye toward how we can assist one another in reaching them together!, • Occasionally travel to team off-sites for real, face-to-face interaction and collaboration., • Exposure to a range of problem domains, programming languages, and frameworks, and familiarity with patterns that are idiomatic to them. We value diverse perspectives, and the depth and breadth of your experience will provide unique insights into the problems we solve each day!, • Bringing a people-focused approach to your work. How will your work impact our customers? How will it impact your coworkers? These are front-of-mind for you when you consider the ever-present tradeoffs in building software., • Being intentionally curious. During your time as an employee, you are expected to challenge the status quo, not take things for face value, and ask: “why?”, • Willingness to do the hard thing, whether having a difficult conversation with a coworker or stretching into the discomfort at the edges of your experience and knowledge., • Finding the opportunities for enjoyment in new challenges, and making space for silliness now and again. You’ve learned how to make work fun for yourself and those around you., • Being design driven. Experiences should be as well-designed as the buildings our customers work on. Salary Range: $100,000 - $130,000 depending on experience We encourage individuals from underrepresented backgrounds, including women and minorities, to apply for this position. We believe in creating a diverse and inclusive workplace and welcome candidates who may not meet every listed requirement but are eager to contribute and grow within our team. Even if you don't meet every requirement, we still encourage you to apply. 🎭 Innovative engineering and product culture 💰 Early-stage well-funded company ❤️ Inclusion and diversity as a company priority And for US-based, full-time employees: 🌡 100% premium coverage on our healthcare plans for employees and their families 🦷 Dental & vision coverage for employees and families 🖥 New laptop & equipment 🏋🏻‍♀️ Wellness Stipend

Role: ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(___) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? We invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Role: Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(___) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: · Degree in Computer Science, Engineering, Statistics, or a related technical field. · Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. · Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. · Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. · Strong foundational understanding of algorithmic complexity and data structure optimization. · Excellent problem-solving, collaboration, and communication abilities. · Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. · Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). · Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. · Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. · Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. · Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Modal is building the serverless compute platform to support the next generation of AI companies. We have deeply technical roots and have built up a significant amount of proprietary infrastructure—including our own custom file system, container runtime, scheduler, container image builder, and more—to craft a world-class developer product. We're a small team based out of New York, Stockholm and San Francisco. In just one year, we've reached 8-figure revenue, tripled our headcount, scaled to support thousands of GPUs, and raised over $32M in funding. Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g. ___, ___), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. Modal builds AI infrastructure products that developers love. That's how we grew so quickly. Word-of-mouth remains one of our most important channels today, and we're looking to hire the first few developer relations engineers who will be able to help scale this out. From ___ to ___ to ___, we want to meet developers through any medium and empower them to ship novel AI products. In this role, you will primarily be creating and distributing technical content that is unique, educational, and practical. This content will be the first Modal touchpoint for many of our users. We want to not only showcase the power and developer experience of Modal, but also be a trusted resource for them when it comes to implementing new AI technologies. In this role, you will: * Ship high-quality technical content (videos, cookbooks, integrations, creative mini-apps) that helps developers see the value of Modal for various AI use cases. * Distill the latest open-source advancements in AI technology and educate developers on how to incorporate them. * Give demos/talks about Modal and adjacent AI technology at developer events. * Engage with users in our community, both online (X, Reddit, Slack) and at in-person events. * Embed yourself in the AI ecosystem. Build relationships, integrations, and joint marketing activities with other developer-focused AI companies (including model and framework builders). * Set objectives that are aligned with the greater GTM team and track the impact of the initiatives you work on. We are looking for someone who: * Has 3+ years experience as a software engineer, with at least 1 year experience as an ML engineer. * Is energized by the AI developer community and wants to help developers adopt new technologies. * Loves teaching. * Has excellent technical communication skills. * Is metrics-driven and takes quantitative approaches to prioritizing initiatives. * Is excited about working in-person in the SF office. * Bonus: you're not afraid to think outside the box when it comes to compelling technical content. * Bonus: you already have a developer following on social media!

Role: ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(___) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Where Data Does More. Join the Snowflake team. The Snowflake Machine Learning Platform team’s mission is to enable customers to bring their ML/AI workload to Snowflake. Our customers want to leverage ML/AI to extract business values from ever increasing data in Snowflake but face several challenges including infrastructure management, scaling, orchestration, performance and security. The team aims to solve these challenges by building highly integrated platform solutions that are simple, secure and scalable to enable end to end ML workflows. We are on an early journey to build the best machine learning and data platform for Snowflake customers without sacrificing the benefits of a single platform and governance. We are looking for a driven engineer who will play a pivotal role in this journey by understanding Snowflake’s core platform architecture and evolving it to enable state of the art ML/AI workloads. Join us to design and execute, engage and deliver innovation and unlock the power of AI for thousands of enterprise customers. * Design easy-to-use & intuitive APIs & systems for ML experts and non-experts to accelerate the E2E ML development and production lifecycle * Design and optimize systems to scale up and out ML data and batch and real time inference. * Collaboratively build and execute a vision for incorporating new advances in machine learning in ways that best achieve the customers’ business objectives. * Be a strong contributor to the product vision and team planning. * Build operational and release rigor with every feature/bug fix deployments. * Have 2+ years of industry experience designing, building, and supporting machine learning platforms, machine learning services & frameworks or data intensive systems. * Working experience with several of the following frameworks: SKLearn, XGBoost, PyTorch, Tensorflow, MLflow. * Fluent in Python. C++, Java, Go experience is a plus. * Familiarity with Kubernetes (K8s) for container orchestration and scaling, plus experience setting up and maintaining CI/CD pipelines (e.g., Jenkins, GitLab, GitHub Actions), is a plus. * A growth mindset and excitement about breaking the status quo by seeking innovative solutions. * BS in Computer Science or related degree; Masters or PhD Preferred. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: ___ For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information:

Overview: Anomali is headquartered in Silicon Valley and is the Leading AI-Powered Security Operations Platform that is modernizing security operations. At the center of it is an omnipresent, intelligent, and multilingual Anomali Copilot that automates important tasks and empowers your team to deliver the requisite risk insights to management and the board in seconds. The Anomali Copilot navigates a proprietary cloud-native security data lake that consolidates legacy attempts at visibility and provides first-in-market speed, scale, and performance while reducing the cost of security analytics. Anomali combines ETL, SIEM, XDR, SOAR, and the largest repository of global intelligence in one efficient platform. Protect and drive your business with better productivity and talent retention. Do more with less. Be Different. Be the Anomali. Learn more at ___. Job Description We are looking for a highly motivated, entry-level/Graduate DevOps Engineer to join our team. The ideal candidate will have a foundational understanding of Terraform, Kubernetes, and CI/CD pipelines with a spassion for learning and growing in cloud-native technologies. You will contribute to designing, automating, and optimizing our cloud infrastructure and deployment workflows while collaborating closely with experience team members. If you are eager to build your skills in automation, infrastructure management, and DevOps practices, we encourage you to apply. Responsibilities Equal Opportunities MonitoringWe are an Equal Opportunity Employer. It is our policy to ensure that all eligible persons have equal opportunity for employment and advancement on the basis of their ability, qualifications, and aptitude. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status at a protected veteran, or any other protected category under applicable federal, state, and local laws. If you are interested in applying for employment with Anomali and need special assistance or accommodation to apply for a posted position, contact our Recruiting team at ___. Compensation Transparency$100,000 - $150,000 USD Please note that the annual base salary range is a guideline and, for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as, knowledge, skills and experience of the candidate. In addition to base pay, this position is eligible for benefits, and may be eligible for equity.

Drug discovery is a prediction problem. Scientists design molecules that they predict will be potent, safe, and readily absorbed into the body, but ultimately lab experiments must be run to know whether these predictions are accurate. Each one of these experiments can take weeks or months to run, and as a result it costs millions of dollars and takes years to design a molecule that is ready for testing in humans. At Inductive Bio, we're using AI to build in silico models that can more accurately predict how molecules will behave in experiments. By predicting complex molecular properties directly from the molecular structure, our platform helps scientists make better decisions faster—ultimately bringing safer, higher-quality medicines to patients more quickly. We are enabled by a unique and growing proprietary data set, and we are already applying our methods to dozens of active drug discovery programs. Backed by leading investors at the intersection of biotechnology and technology and advised by renowned experts in drug discovery, we are growing rapidly and poised to make a major impact in drug discovery. We are seeking Machine Learning Scientists to join our talented, ambitious, and kind team. You'll have the opportunity to innovate on methods, work with leading drug discovery scientists, and apply your work immediately to drug programs at some of the most innovative biotechs in the world. As an early machine learning scientist at a rapidly-growing startup, you’ll have the opportunity for high impact while learning and growing with the company. What you’ll do: * Develop machine learning models to predict molecular properties from chemical structures * Develop novel algorithms for generating ideas for new molecules * Build agents that can synthesize complex information from drug programs and apply that information strategically toward molecular optimization * Get your hands dirty by diving deep into our unique, proprietary dataset to iterate on modeling ideas and improve model performance * Collaborate closely with chemists and software engineers to integrate models into our software platform, which is used by drug discovery scientists across the industry * Build and optimize scalable infrastructure for model training, deployment, and monitoring * Engage directly with our scientific users, incorporating their feedback into the product * Contribute meaningfully to product strategy and company direction Who you are: * You have 4+ years of experience as a Machine Learning Scientist, Machine Learning Engineer, Data Scientist, or similar role * You have expertise in machine learning fundamentals, deep learning architectures, and evaluation approaches * You are proficient in standard Python-based ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) * You are comfortable writing high-quality, reusable code and productionizing models for serving in the cloud * You are excited to dive deep into the science and practice of drug discovery * You have exceptional written and oral communication skills Working at Inductive At Inductive Bio, we know that the people on the team are what make us great. We offer competitive salary and equity-based compensation; comprehensive healthcare benefits (including dental and vision); and the opportunity to grow along with a rapidly scaling company. We are a passionate, kind, and mature team. Working at a fast growing startup is not always a 9-5 job, but we believe that our employees should have full lives beyond their career.

At Roblox, we strive to connect a billion people with optimism and civility, and the Safety organization’s mission is to become the leader in civil immersive online communities. We systematically and proactively detect, remove, and prevent problematic content and behavior. In doing so, we keep Roblox safe, civil, and inclusive, fostering positive relationships between people around the world. As a Principal Machine Learning Engineer for Safety AI Systems, you will define the future of proactive moderation, driving immense social impact through cutting-edge, innovative ML solutions. This role is a fusion of a Principal Engineer's technical authority and an Engineering Manager's leadership, focused on the most critical and ambiguous safety challenges. You will set the 3-5 year technical strategy and architectural blueprint for how Roblox uses machine learning—from high-velocity text filtering to leveraging multimodal Generative AI—to combat the most complex critical harms on the platform. You will own the execution roadmap and technical planning, directly guiding the launch of high-priority new ML projects. You will be responsible for defining the standards of innovation in data quality, model robustness, and ethical deployment across the entire Content & Communication Safety ML pillar. You will lead and scale a high-performing group of individual contributors, providing both strategic oversight and hands-on guidance to the teams responsible for the architectural development of massive-scale systems that mitigate abuse and harassment before it impacts our community. You will feel a deep sense of responsibility in proactively protecting our community—thoughtfully and fairly—while balancing user freedom with platform civility. Your efforts will ensure Roblox remains one of the safest places on the internet for users. • Define and Own the Technical Vision: Define and lead the multi-year technical vision, architectural strategy, and execution for machine learning solutions across Content and Communication Safety, ensuring these systems proactively and effectively detect and prevent high-severity, critical harms at massive scale., • Provide Principal-Level Architecture: Act as the highest technical authority for the Content Safety ML domain, guiding the architecture and long-term maintainability of foundational models, data pipelines, and real-time inference services., • Drive Cross-Org Alignment: Identify and champion the most ambiguous, high-leverage technical problems, driving alignment and securing investment for organization-wide ML infrastructure and platform development initiatives that benefit all of Trust & Safety., • Lead Innovation in Safety: Oversee the adoption and safe deployment of innovative technologies (e.g., advanced NLP, self-supervised learning, multimodal LLMs) to anticipate and mitigate novel abuse vectors, moving beyond reactive detection to proactive intervention., • Strategic Stakeholder Partnership: Collaborate with executive-level Product, Data Science, Policy, and Operations leaders to define and prioritize the strategic machine learning roadmap, influencing product strategy and demonstrating the impact of ML on user trust and safety outcomes., • 8+ years of experience designing, developing, and operating large-scale, high-impact machine learning systems in a production environment., • 5+ years of experience in technical leadership, management, or mentorship roles, ideally having managed Engineering Managers or Principal/Staff-level individual contributors., • A proven track record of successfully setting the long-term technical direction for an entire ML domain or pillar, demonstrating the ability to take ambiguous problems from concept to scaled production impact., • Deep expertise in advanced ML architectures, including Large Language Models (LLMs), transfer learning, or other foundation model technologies, especially applied to text or multimodal data., • Expertise in architecting scalable, real-time ML inference services and robust data pipelines operating at millions of requests per second., • Demonstrated success in leading and resolving high-stakes, cross-functional conflicts and technical disagreements, with an ability to build consensus among diverse stakeholders., • Exceptional product sense and strategic planning ability: able to translate platform safety requirements into an achievable, iterative technical roadmap., • A Visionary Architect: Capable of synthesizing complex business and safety goals into a clear, compelling, and actionable technical strategy., • An Inspiring Leader: Passionate about developing the next generation of technical leaders, managers, and engineers., • Comfortable with Ambiguity: You thrive in undefined or open-ended problem spaces, providing structure, clarity, and decisive direction to your teams., • An Executive Communicator: Highly effective at communicating complex technical concepts to both engineering teams and non-technical executive leadership., • Committed to Ethical AI: Dedicated to building ML systems that are fair, transparent, and operate with the utmost responsibility toward user safety and platform civility.

About Poesis Poesis is the AI-native investment manager pioneering a new foundation model for investing in U.S. equities. We're building modular AI systems to predict market movements and outperform legacy managers. This is frontier research with immediate real-world validation. Your work will directly shape investment decisions and portfolio performance. Location & Workstyle San Francisco Bay Area (near Stanford). Hybrid: several days on-site per week. Relocation available. Poesis is building an AI-driven hedge fund focused on reshaping how trading decisions are made. We’re hiring our Founding ML Engineer, the first full-time machine learning hire who will turn research and data into production models. You’ll build the first ML pipelines end-to-end — from ingesting and cleaning data, to model training, validation, and signal generation. This is a deeply hands-on, execution-oriented role for someone who can write code, design experiments, and deliver validated results quickly. You’ll work directly with the CEO, CFO, and Chief Scientist, owning both implementation and iteration. Over time, you’ll help scale the system into a full production platform and define best practices for future hires. * Architect, build, and maintain the core ML infrastructure for Poesis’ investment platform. * Develop reproducible pipelines for data ingestion, feature generation, and model training. * Implement backtesting and evaluation frameworks with clear performance metrics. * Deliver regular, documented reports on model accuracy, feature importance, and portfolio-level impact. * Collaborate closely with the Chief Scientist to refine model hypotheses and production readiness. * Maintain code quality: version control, testing, reproducibility, and documentation. * Build robust backtesting frameworks and model validation tools with walk-forward evaluation and risk controls. * Integrate with professional financial data providers (Bloomberg, FactSet, Refinitiv, CapIQ). * Establish foundational MLOps practices: model versioning, CI/CD, monitoring, and documentation. * Define and iterate on “demo-able” workflows that connect model outputs to investment decision-makers. * 5–10+ years of experience as an ML Engineer, Quant Engineer, or similar role. * Proven track record deploying production ML systems (ideally in finance or other high-stakes domains). * Deep expertise in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn, JAX, XGBoost). * Experience designing large-scale, reliable data or MLOps systems. * Strong software engineering fundamentals: testing, versioning, CI/CD, and code review discipline. * Experience with financial data APIs and real-time data handling. * Comfortable working directly with executives and acting as both IC and product owner. * Willingness to work in-person in the Bay Area; relocation support available. * Prior experience at a hedge fund, quant research lab, or fintech startup. * Familiarity with quantitative finance, portfolio optimization, or risk management. * Exposure to time-series modeling, forecasting, or reinforcement learning. * Understanding of financial market microstructure and execution systems. * Experience with LLM/RAG workflows for parsing financial documents (filings, transcripts). * Comfort with multi-language engineering environments (C++, Rust, Go, etc.). * You’re a founder-type engineer — equally comfortable writing code, setting strategy, and defining requirements. * You thrive in high-autonomy, low-process environments and like being close to decision-makers. * You think like both a researcher and a builder, able to turn models into production systems quickly. * You’re pragmatic: you deliver something useful fast, then refine it as data and users evolve. * You want to build the technical backbone of a next-generation hedge fund from day one. Current legal authorization to work in the US required; visa sponsorship considered later for full-time employees.

About the Company Virtue AI is at the forefront of AI security. As enterprises increasingly adopt Large Language Models, the need for robust, trustworthy, and safe AI has never been greater. Our mission is to build the essential guardrails and red-teaming tools that enable organizations to deploy multi-modal AI applications confidently and responsibly. We are a well-funded, early-stage startup founded by industry veterans, and we're looking for passionate builders to join our core team. Are you a high-performing, motivated engineer ready to make a significant impact in the AI security space? Virtue AI is seeking talented AI Infrastructure Engineer (MLOps) to join us. We are a fast-paced, customer-focused company with cutting-edge technology, strong early customer traction, and market dominance. If you thrive in an environment that values hard work, collaboration, and technical curiosity, we want to hear from you. About the Role The future of AI will depend on our ability to keep it safe and responsible. We're seeking an Applied Machine Learning (ML) Engineer to champion our efforts in doing so. You will play a pivotal role in building robust ML systems to address AI safety challenges. You will combine cutting-edge machine learning techniques with strong engineering practices to design and deploy scalable, effective solutions that detect and mitigate risks in AI systems. Working at the intersection of AI and security, you will help shape the future of safe AI applications. In this role, you will: * Develop AI Risk Mitigation Systems: Design, build, and deploy scalable ML models and workflows to detect, analyze, and mitigate threats to AI/ML environments * End-to-End ML Workflow Ownership: Implement experimentation pipelines, model evaluation strategies, and deployment mechanisms to productionize AI safety tools * Red-Teaming and Testing: Facilitate red-teaming exercises to uncover vulnerabilities, validate robustness, and enhance the reliability of AI models * Collaborate Across Teams: Work closely with researchers, engineers, and security experts to ensure that technical solutions align with product goals and safety objectives Required Qualifications * Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field. * 2+ years of experience in applied machine learning or AI engineering roles. * Proficiency in Python and ML frameworks, with a focus on Hugging Face Transformers and PyTorch. * Hands-on experience with fine-tuning pipelines for large language models (e.g., Qwen, LLaMA) and generative image/video models. * Solid understanding of model architectures, including knowledge of transformer-based models and neural network design. * Expertise in model inference and deployment frameworks, including optimizing and scaling ML systems in production environments. * Experience with prompt engineering and developing effective strategies for generative AI systems. * Strong communication skills and a collaborative mindset, with the ability to work effectively in cross-functional teams. Preferred Qualifications: * Experience with AI/ML safety, security, or adversarial machine learning in text, image, video, or audio domains. * Knowledge of secure software practices and AI vulnerability testing. * Familiarity with tools and frameworks for red-teaming in AI, particularly for generative models.

Who We Are At TwelveLabs, we are pioneering the development of frontier multimodal foundation models that can see, hear and understand the world as humans do. Our models have redefined the standards in video-language modeling, allowing developers to build programs with state-of-the-art semantic search, summarization and analysis capabilities. TwelveLabs has raised $107 million in Seed + Series A funding from world-class VC & corporate partners: NVIDIA, NEA, Radical Ventures, Index Ventures, Snowflake and Databricks. Our advisory team features AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation. About The Role As a Machine Learning Engineer at TwelveLabs, you will drive our ML systems + platform engineering efforts in all facets of our e2e research & engineering workflows. Scaling our training, inference, and evaluation systems — all while improving the reliability of our model deployments / operations / versioning / etc. — is the essence of the role. This role is a perfect fit for senior engineers who get excited by the prospect of advancing the State of the Art in vision-language modeling by perfecting ML systems and infrastructure! In This Role, You Will: * Advance our industry-leading enterprise video solutions by incorporating already-great research into fault tolerant, low latency e2e systems * Scale multimodal AI/ML systems for video understanding * Deliver industry leading applied research solutions to problems like VLM finetuning, auto-labeling of video-text datasets, and model-based filtering of said datasets to optimize (end-)model performance * Build the highest impact, not the flashiest, libraries and services You May Be A Good Fit If You Have: * 2+ years of relevant industry experience * Strong Python coding skills * Experience with modern ML frameworks (i.e. PyTorch, Tensorflow) * Excellent problem-solving skills and attention to detail Strong Candidates May Also Have Experience: * With at least one statically typed language (we use Golang) * Building 0-to-1 mission critical AI/ML applications from scratch * Optimizing model inference (TensorRT, ONNX, Triton Inference Server) * Working with FFmpeg or other high performance image/video processing libraries Interview Process 1. Recruiter Phone Screen, 2. Initial Technical Assessment, 3. Hiring Manager Interview, 4. Onsite Technical Interview [In-Person], 5. Final Interview: Culture Even if there are a few checkboxes that aren’t ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs. We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. Benefits and Perks 🤝 An open and inclusive culture and work environment. 🧑‍💻 Work closely with a collaborative, mission-driven team on cutting-edge AI technology. 🦷 Full health, dental, and vision benefits. ✈️ Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years. 🛂 VISA support (such as H1B and OPT transfer for US employees).

At Delphi, we are redefining how knowledge is shared by creating a new medium for human communication: interactive digital minds that people can talk to, learn from, and be guided by. The internet gave us static profiles and endless feeds. Delphi is something different: a living, interactive layer of identity. It carries your voice, perspective, and judgment into every conversation—so people don’t just read about you, they experience how you think. Our mission is bold: * Make human wisdom abundant, personalized, and discoverable. * Ensure “Send me your Delphi” becomes as common as “Drop your LinkedIn.” * Preserve legacies, unlock opportunities, and scale brilliance across generations. We are trusted and loved by thousands of the world’s most brilliant minds from Simon Sinek to Arnold Schwarzenegger (interact with all of them ___). We have tripled revenue, users, and Delphi interactions in the past 6 months - all organically through word of mouth. We plan to accelerate even further from here. Delphi’s investors include Sequoia Capital, Founders Fund, Abstract Ventures, Michael Ovitz, Gokul Rajaram, Olivia Wilde, and dozens of founders from Lyft, Zoom, Doordash, and many more. Our team includes founders with successful exits and builders from Apple, Spotify, Substack and more. Learn more about Delphi and this position by calling the CEO’s digital mind ___ Learn more about Delphi and this position by calling the CEO’s digital mind As our AI Engineer, you will architect and implement improvements to the backbone of our Delphi mind architecture. The architecture is powered by knowledge graphs that capture information about the person as well as their associations, reasoning patterns, and conceptual frameworks that make each mind unique. Unlike traditional RAG systems that treat knowledge as a flat collection of documents, we’re building rich, hierarchical representations that mirror how human experts think and reason. * Graph Architecture & Design: design scalable knowledge graph architectures, develop novel embeddings to capture nuanced relationships, and build efficient indexing and retrieval for real-time querying. * Evals for the Mind: defining the core components of the human mind, building strong mind architectures, giving customers confidence their minds improve over time, and advancing tone and style transfer to better reflect individuality. * RAG System Innovation: build next-generation RAG systems that merge graph-based reasoning with neural retrieval and include robust evaluation frameworks to optimize quality across query types. * Infrastructure & Scaling: scale infrastructure to support distributed, low-latency graph operations across thousands of instances with comprehensive monitoring and debugging tools. * Expertise in building evals and fine-tuning models. * Deep experience with retrieval-augmented generation, including both traditional and graph-based systems. * Strong background in neural-symbolic approaches that combine reasoning with learning. * Proven ability to design and scale distributed graph processing systems. * Proficiency in Python and graph frameworks such as Neo4j, DGL, and PyG. * Track record of translating academic research into production-ready systems. * First-principles thinker, able to tackle novel technical challenges without established playbooks. * Ambition: Our team is full of former founders, and entrepreneurial individuals who are taking on immense initiatives. * Extreme upside: Very competitive salary and equity in a company on a breakout trajectory. * Unlimited Learning Stipend: Whether it’s books, courses, or conferences, we want to support your growth and development. The more you learn and improve your craft the more effective we will be together. * Health, Dental, Vision: Comprehensive coverage to keep to take care of your health. * In-person collaboration: Work from our beautiful Jackson Square office in San Francisco, surrounded by peers pushing to do their best work. If you’re looking for just a job, Delphi isn’t the right fit. But if you want to shape the future of human connection, scale wisdom for billions, and build something that will outlast us all - you’ll feel at home here.

Paradise Media is an affiliate marketing company at the forefront of digital marketing, dedicated to empowering consumers to make informed choices when it comes to products and services using strategic and innovative digital marketing campaigns. With a strong commitment to transparency, consumer empowerment, and performance-driven marketing, Paradise Media aligns advertisers and affiliates to provide consumers with information to make the best choices for their needs. About the role We are seeking a skilled Site Reliability Engineer with a strong focus on optimizing and maintaining WordPress websites. The ideal candidate will be responsible for ensuring high availability, performance, and scalability of WordPress-based systems. This role combines technical expertise with operational excellence to support a growing portfolio of WordPress websites. This role is to be based in Malta. Roles & Responsibilities: • Performance Optimization:, • Monitor, analyze, and optimize WordPress site performance, ensuring fast load times and seamless user experiences., • Implement caching solutions (e.g., Varnish, Redis, WP Rocket) and Content Delivery Networks (CDNs) like Cloudflare., • Minimize bloat by optimizing themes, plugins, and databases., • Site Reliability & Uptime:, • Maintain and enhance monitoring and alerting systems for uptime, errors, and performance using tools like Datadog or similar., • Plan and execute strategies for high availability and fault tolerance, • Perform capacity planning to anticipate traffic spikes and scalability needs., • Security:, • Implement and maintain security best practices for WordPress, including WAF (Web Application Firewalls), SSL certificates, and regular vulnerability scans., • Manage malware prevention, detection, and remediation tools (e.g., Wordfence, Sucuri)., • Harden WordPress installations, server configurations, and databases., • Infrastructure Management:, • Manage hosting environments optimized for WordPress (e.g., Nginx, Apache, PHP-FPM)., • Configure and maintain database solutions (e.g., MySQL, MariaDB), • Automate routine operations like backups, updates, and deployments using tools like Ansible, Terraform, or similar., • DevOps Practices:, • Establish CI/CD pipelines tailored to WordPress development workflows., • Collaborate with developers to integrate new features into production without downtime., • Manage version control systems (e.g., Git) for code changes across themes and plugins., • Incident Management:, • Investigate and resolve incidents related to performance, functionality, or outages., • Conduct root cause analysis and implement preventive measures for recurring issues., • Documentation & Collaboration:, • Create and maintain technical documentation for configurations, processes, and troubleshooting guides., • 4+ years in an SRE, DevOps, or similar role, • Industry Certifications in AWS, Google Cloud, or a related technology., • Technical Expertise:, • Strong knowledge of WordPress architecture, including themes, plugins, and custom post types., • Proficiency in PHP, HTML, CSS, JavaScript, and MySQL., • Experience with server administration in Linux-based environments., • Familiarity with modern hosting solutions such as AWS, Google Cloud, or Azure., • Performance Tools & Technologies:, • Proficient with performance monitoring tools like Lighthouse, or GTmetrix., • Hands-on experience with caching tools and CDNs., • Problem Solving:, • Proven ability to troubleshoot complex technical issues in production environments., • Experience with log analysis and debugging tools., • Additional Skills:, • Experience with automation tools like Jenkins, Ansible, or Docker., • Knowledge of DNS configurations and domain management. We offer a competitive salary, and the opportunity to work with a talented and passionate team in a fast-paced, dynamic environment.

About Middesk Middesk makes it easier for businesses to work together. Since 2018, we’ve been transforming business identity verification, replacing slow, manual processes with seamless access to complete, up-to-date data. Our platform helps companies across industries confidently verify business identities, onboard customers faster, and reduce risk at every stage of the customer lifecycle. Middesk came out of Y Combinator, is backed by Sequoia Capital and Accel Partners, and was recently named to Forbes Fintech 50 List and cited as an industry leader in business verification by digital identity strategy firm, Liminal. The Role We’re building AI-driven applications that power business onboarding, fraud prevention, and identity verification. With proprietary data assets and deep domain expertise, we’re uniquely positioned to create a new generation of ML-powered solutions for trust and risk. We’re looking for a hands-on Machine Learning Engineer with strong Data Science expertise to take end-to-end ownership of the ML lifecycle: from feature design and model development, to deployment, monitoring, and iteration in production. Unlike larger organizations where responsibilities are split, you’ll have the opportunity to own models from concept to production while working closely with product managers, engineers, and data platform teammates who support and amplify your work. This is a rare chance to join an earlier-stage company where you’ll have broad visibility and influence, and where your ML systems will have immediate and measurable impact on customers. * End-to-end ML ownership: Lead the full lifecycle of ML systems — feature engineering, model design, training, evaluation, deployment, monitoring, and iteration. * Collaborate with a strong team: Work alongside data engineers, platform engineers, and product teammates who ensure you have the infrastructure, data, and context to deliver. * Design & deploy production models: Build high-performance ML applications in risk, fraud, trust & safety, and compliance domains. * Keep models healthy in production: Proactively monitor, detect drift, and retrain to ensure long-term performance and reliability. * Experiment & learn: Drive online experiments, offline evaluation, and counterfactual analyses to prove impact. * Shape ML foundations: Contribute to the feature store, model management, training/serving pipelines, and best practices that scale ML across multiple use cases. * 5+ years applied ML experience with proven impact in risk, fraud, trust & safety, compliance, fintech, or other high-stakes domains. * Track record of owning ML models end-to-end — from research and design to deployment, monitoring, and retraining in production. * Strong software engineering skills (Python, ML frameworks, deployment pipelines) and ability to write reliable, production-grade code. * Hands-on experience with ML infrastructure such as feature stores, model management, training/serving pipelines, and monitoring tools. * Comfortable as a senior IC: you can set technical direction, establish best practices, and mentor peers while collaborating effectively across teams. * Experience working cross-functionally with data engineers, platform engineers, and product stakeholders to bring ML systems to life. * Deep expertise in classification challenges such as imbalanced labels, sparse signals, cold start, and production version management. * B2B SaaS experience, ideally building ML products for enterprise customers. * Familiarity with graph, LLM-based feature generation, or AI agent workflows. * Experience scaling ML across multiple products or risk domains.

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more. Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI! Machine Learning Manager In order to execute our vision, we're constantly growing our machine learning team. We are looking for an exceptional leader to help us with that growth, making sure that each engineer reaches their full potential. We value hard workers who have no qualms working with terabyte-scale datasets. We’re interested in experimenting with new models, new ideas, and training on novel datasets. Our ideal candidate has experience managing a team of machine learning engineers working on ML projects of a massive scale, contributes innovative ideas and ingenious modeling improvement strategies to the team, and is capable of mentoring junior engineers through their journey to become better. \n Responsibilities • Interface closely with product management, engineering, devops, labeling, and sales teams to build roadmap in supporting the long term vision of the team, • Lead a team of highly capable and passionate machine learning engineers, helping them achieve their goals through mentorship, • Participate in products technical design and architecture, • Participate in the full development cycle: data collection, labeling, model development, experimentation, training, testing, and deployment in production, • Drive delivery for our product milestones, continually releasing model with new well tested features and ensuring quality metrics are achieved, • Implement and manage security protocols such as training, code review, and best practices, • Own and manage the risk and security of your business function in coordination with the Security Team, • Maintain awareness of industry best practices for data maintenance handling as it relates to your role, • Adhere to policies, guidelines and procedures pertaining to the protection of information assets, • Report actual or suspected security and/or policy violations/breaches to an appropriate authority Requirements • Undergraduate or graduate degree in computer science or similar technical field, • 4+ years experience as a machine learning engineer, with experience in training large deep learning models and working with real world data, • Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP, • 2+ years experience managing machine learning teams, • You have an ability to understand and make well-reasoned tradeoffs in designing features, • Management skills: ability to set roadmap and goals for a team and its individual members, delegate, mentor, and deliver results, • Have a desire to interview engineers, collaborate with a recruiting team, and smoothly onboarding new team members, • Have experience collaborating with product managers and labeling team in delivering model improvements \n Who We Are We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company. Thank you for your interest in Hive and we hope to meet you soon! The current expected base salary for this position ranges from $180,000 - $250,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

___ is the enterprise sustainability platform. Companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens use Watershed to manage climate and ESG data, produce audit-ready metrics for voluntary and regulatory reporting including CSRD, and drive real decarbonization. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team. We have offices in San Francisco, New York, London, Paris, Berlin, Sydney, Mexico City, and remote team members across the US and Europe. We hope that you'll be interested in joining us! We're looking for a seasoned machine learning engineer specializing in AI to join our team. You will be a technical leader in helping us build a world class AI tools for companies to measure and reduce their carbon emissions. You'll leverage LLMs, embeddings, and other AI technologies to deliver features to our customers, and help lay the technical foundations for AI at Watershed. In this role you will: * Prototype, develop and iterate on new product areas for Watershed, giving our customers powerful AI tools for transforming data and identifying ways to reduce their emissions * Productionize and launch core technologies to power AI features on top of a wealth of operational sustainability data * Collaborate with product and other AI engineering teams to set product and technical strategy * Build evals, fine tune, create agent harnesses to build reliable AI powered systems * Keep up with developments and state-of-the-art in AI to determine what is relevant to Watershed * Write performant, well-crafted, tested, and maintainable code across our technical stack You might be a good fit if you have: * 8+ years of experience in Machine Learning / AI engineering * Experience building products using LLMs, embeddings and other ML technologies * Full lifecycle experience of building, deploying and monitoring products that leverage LLMs, embeddings or other ML technologies * Experience leading cross functional teams in an innovative fast moving environment * A strong foundational understanding of machine learning models and practice, including model evaluation and performance * Strong full-stack development skills Must be willing to work from an office 4 days per week (except for remote roles) Watershed has hub offices in San Francisco, New York, London, and Mexico City and satellite offices in Sydney, Paris, and Berlin. Where we have offices, employees are expected to be in office for 4 days per week. Certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description if so. What’s the interview process like? It starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience interview (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a virtual or in person interview panel. We prioritize transparency and lack of surprise throughout the process. What if I need accommodations for my interview? At Watershed, we are dedicated to ensuring an inclusive recruitment process. We provide reasonable accommodations for candidates with disabilities, long-term conditions, mental health needs, religious observances, neurodivergence, or pregnancy-related support requirements. If you need assistance during your process, please contact your recruiter.

We are on the lookout for an innovative and driven AI Engineer. In this role, you will be responsible for designing, developing, and deploying AI models that will enhance our products and improve our services. • Bachelor's or Master's degree in Computer Science, Data Science, or a related field., • 5+ years of experience in AI/ML development., • Strong proficiency in Python, R, or Java., • Experience with machine learning libraries such as TensorFlow, Keras, or Scikit-learn., • Familiarity with data processing tools (e.g., Pandas, NumPy)., • Knowledge of AI model deployment and cloud services (AWS, Google Cloud, Azure)., • Solid understanding of algorithms and data structures., • Excellent analytical skills and problem-solving capability. We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at . Also follow our ___ page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

About Muro AI Muro AI is transforming how the $2T construction industry plans and builds. Founded by Cornell alumni, ex-founders, and former McKinsey operators, we’re building AI agents that automate the most complex, manual, and costly phase of construction: preconstruction. We move fast, build with conviction, and obsess over delivering real impact to the people who build our world. If you want to shape how the next century of construction gets built, this is where it starts. Who You Are A true builder with 4+ years of technical experience. You’ve lived the 0→1 chaos - maybe you co-founded something, or led a team through the trenches. You know that the good (fast growth) and the ugly (2 AM patches) come with the territory. You’re scrappy, curious, and energized by uncharted problems. Why It Matters Shape a category. No one owns “pre-con AI” yet — we’re charting that map. Bridge two worlds. Effect changes in an estimator’s spreadsheet with multimodal models that understand construction documents. Drive impact. Your AI agents will help contractors close multi-million-dollar bids and save hundreds of hours per project. Your Mission Build agentic workflows that work. Create agents to complete multi-step construction tasks. Implement tool use for Procore APIs, Excel manipulation, and document generation. Build agents that read plans, update budgets, and generate RFIs autonomously. Ship production RAG systems. Process 1,500-page plan sets. Build pipelines that understand construction specs and drawings. Handle messy, real-world documents - scanned, rotated, hand-marked. Deliver semantic search that actually finds the door schedule on page 347. Embed with customers. Sit with estimators during bid week. Understand workflows, then turn “we manually compare 50 subcontractor bids” into an intelligent agent. Own the AI stack. Python services orchestrating model calls. Celery workers for long-running jobs. Vector DBs for semantic search. Context engineering, evaluation frameworks, and monitoring for quality. Dockerized workloads on GCP infra. Make AI reliable. Build evaluation datasets from real construction docs. Collaborate with SMEs to catch hallucinations and make models accurate enough for million-dollar decisions. Tech Stack AI/ML: LLM APIs, Agentic frameworks, RAG pipelines, Vector DBs, Langfuse Backend: Python (FastAPI), Celery, Node.js/TypeScript Infra: GCP, Docker, Supabase Data: PDF parsing, spreadsheets, computer vision, unstructured data pipelines Who Should Apply We want hands-on builders with 4+ years of experience delivering applied AI to real users. You might be: • A Full-Stack Engineer hacking with LLMs who wants to go deeper, • A Forward Deployed Engineer who wants to build AI, not just integrate it, • An ML Engineer who wants to ship products, not just models, • A Data Scientist tired of notebooks who wants to ship production code, • A Founding Engineer or ex-CTO ready for the next challenge You'll Stand Out If You Have • Built and deployed an AI feature with real users, • AEC industry experience, • Worked with computer vision or advanced OCR pipelines, • Fine-tuned a model with a custom-built datasets, • Roles involving coding + customer interaction (FDE, Solutions Engineer, etc.), • Prior founding-team or 0→1 experience Real Talk You’ll own customer and agent implementations end-to-end. You’ll ship to production within days, not weeks. Specs will be half-baked - you’ll fill in the blanks. You’ll wear many hats: dev, architect, product, recruiter, and support hero. If you love making AI solve real problems for real people, you’ll thrive. Location: In-person in San Francisco. Will cover relocation costs. Compensation: $140K – $220K base + competitive equity + full benefits package

About Us: CXAPP is a forward-thinking technology company that leverages AI to transform industries, drive innovation and deliver cutting-edge solutions. Job Description: As a DevOps Engineer at CXAPP, you will be responsible for optimizing our development and deployment processes. You will play a key role in implementing CI/CD pipelines, automation solutions, monitoring and logging, automated testing, and ensuring security and compliance measures are in place. Your work will enable our teams to deliver high-quality software efficiently. Key Responsibilities: • Continuous Integration and Continuous Deployment (CI/CD): Design, implement, and maintain CI/CD pipelines to automate software delivery and deployment processes., • Automation: Develop automation scripts and workflows for provisioning, configuration management, and scaling of infrastructure resources., • Monitoring and Logging: Set up and manage monitoring and logging tools to track the performance and health of applications and infrastructure., • Automated Testing: Implement automated testing frameworks and scripts to validate software quality and functionality., • Security and Compliance: Collaborate with security teams to ensure security measures and compliance requirements are met in the CI/CD pipeline., • Infrastructure as Code (IaC): Utilize IaC principles to define and manage infrastructure resources programmatically., • Containerization and Orchestration: Work with containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes) to optimize application deployment., • Incident Response and Recovery: Develop incident response plans and mechanisms for quick recovery in case of system failures or anomalies., • Version Control: Use version control systems (e.g., Git) to manage and track changes in infrastructure and automation scripts., • Documentation: Maintain clear and comprehensive documentation for processes, workflows, and configurations. Qualifications: • Bachelor's degree in Computer Science, IT, or a related field., • Proven experience as a DevOps Engineer or in a similar role., • Proficiency in CI/CD tools (e.g., Jenkins, GitLab CI/CD)., • Strong scripting and automation skills (e.g., Bash, Python, Ansible)., • Knowledge of monitoring and logging solutions (e.g., Prometheus, ELK stack)., • Experience with automated testing frameworks., • Understanding of security best practices and compliance standards., • Familiarity with IaC tools (e.g., Terraform, AWS CloudFormation)., • Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes)., • Excellent problem-solving and troubleshooting skills., • Strong communication and collaboration skills., • Commitment to staying updated with DevOps trends and best practices. Benefits: • Competitive salary and performance-based bonuses., • Comprehensive health, dental, and retirement plans., • Opportunities for professional development and growth., • A dynamic and collaborative work environment., • The chance to work on cutting-edge AI projects with a talented team. Join our team of talented engineers and make a significant impact by developing cutting-edge software solutions that empower businesses to harness the power of analytics and AI. Apply now and be part of our exciting journey towards innovation and digital transformation.

Hex is an AI-powered platform for modern Data Science and Data Analytics workflows. AI Engineers at Hex partner with product teams to build industry-leading AI experiences such as the ___. In the process, AI Engineers will run experiments, fine-tune models, deploy AI infrastructure, and build and maintain experimentation tooling. As the AI Engineer partnered with Hex's Editor team (located in our San Francisco office), your focus will be pushing forward the capabilities of our Notebook Agent. Built for people doing the most complex and impactful data work in an organization, the Notebook Agent is a highly technical data copilot that writes SQL and python, builds beautiful reports and visualizations, and collaborates with the analyst on new avenues of inquiry. AI Engineers on this team will use a combination of frontier techniques – context engineering, subagents, fine-tuning, and more – to deliver incredible AI experiences for technical data work. If you’re a strong builder excited to bring these capabilities to thousands of users, come do it on the best Data Science platform around, with the best user context. We are looking for a senior engineer (from an AI Eng, SWE or MLE background) eager to rapidly expand our capabilities in several greenfield applications. As one of our team’s early hires, you will work on a variety of initiatives including: • Building features and experiences from 0 to 1, • Partnering on determining the architecture and stack for our AI-enabled capabilities, • Shipping product experiences that fundamentally change the way that Data Scientists and Analysts operate, • Working at the cutting edge of production AI applications This type of ownership will provide incredible opportunities for personal and professional growth. You will have ample technical and team leadership opportunities, depending on your interests. We aim to deliver AI capabilities that radically accelerate and augment the data science workflow – we’ve got an exciting roadmap and are willing to share more details during the process. We’re particularly interested in candidates who bring inspired excitement about what is possible in this space. Note: We deeply respect and appreciate deep AI/ML research; this role is not that. While experience producing relevant journal publications is awesome, it won’t be part of this role’s deliverables. • Experience getting AI/ML capabilities into production and serving real users, • A lot of enthusiasm for applications of AI to real business problems., • Understanding of core MLOps/SW Architecture concepts for modern ML-based applications., • Ideal candidates are strong on Infra aspects of MLOps as well., • You’re comfortable working in both Python & JS/TS – it’s okay if you’re only strong in one, but openness to both is important., • Experimentalist mindset – understanding that quick iteration, and discerning critical thinking, can yield rapid progress on new challenges., • Interest in the data space, and a love of shipping great products and building tools that empower end users to do more., • Experience maintaining a high quality bar for design, correctness, and testing. This is a full-time role based out of our San Francisco office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days. In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off. The salary range for this role is: $180,000 - $270,000 The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process. By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: ___.

WHY SAFETY? At Roblox, we strive to connect a billion people with optimism and civility, and the Safety organization’s mission is to become the leader in civil immersive online communities. We systematically detect, remove, and prevent problematic accounts, content and behavior, and we make Roblox accounts secure and free from compromise. We cover a broad area of the tech spectrum, including machine learning, classifiers for 3D models, experimentation, automation, detection workflows, and AI-powered text filters. Aligned and partnering with product teams, we use this toolbelt to discover new opportunities, influence and shape the product roadmap and prioritization, build safety products, and measure the impact on our community of users and developers. In doing so, we keep Roblox safe, civil, and inclusive, and we foster positive relationships between people around the world. WHY ACCOUNT IDENTITY? Safety and Civility is Roblox's #1 priority and our mission is to keep Roblox secure by building in-depth understanding of our users. As a principal ML engineer on the Account Identity team, you will be leading work on multi-modal age estimation (both facial and behavioral) and alternate account detection. This area is both adversarial and complex due to Roblox’s varied demographics. You'll be focused on building scalable and secure detection to ensure platform safety. You will report to the Senior Engineering Manager of the Account Identity Team. You will: • Lead 0-1 secure, efficient, reliable and high precision age estimation product including both facial and behavioral features, • Develop innovative detection approaches in a rapidly evolving landscape. Use a data-driven lens to think creatively, strategically, and adversarially to identify opportunities., • Bring industry best practices and innovative research in computer vision, multi-model data fusion and big data expertise, • Up-level the ML team while also effectively collaborating with software engineers You have: • MS or PhD degree in Computer Vision, Deep Learning, or a related field. You have solid fundamentals in Computer Vision and classification problems., • 8+ years of industry experience in Applied ML specifically related to facial identity/safety domain. Capable of breaking down product requirements into iterative deliverable stages. Experience in launching computer vision models into production., • Experience with facial recognition and/or deepfake detection is a plus. This includes work on liveness detection, age estimation, anti-spoofing, and synthetic media analysis for identity verification and fraud prevention., • Passion and Experience in anti-abuse / integrity/security domain is a plus. You are: • Resourceful: You're adaptable in any situation and can always find a path forward., • Analytical: Excited to investigate large, ambiguous problems, and quantify the problems and the solutions., • User Oriented: You always start with the needs of the user, whether they are Roblox users or internal engineers before architecting a solution., • Team Oriented: You lift up your peers and find ways to make the team stronger. You are a sought-after mentor. You foster a culture of technical excellence., • Mission Oriented: You stay laser-focused on the mission and are versatile, creative, and strategic to achieve it. You think long-term, and find ways to deliver short-term value on the way to get there.

WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including AstraZeneca, JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Artificial intelligence has been rapidly advancing in recent years, particularly in the area of generative AI. With the help of new large language models and massive amounts of data, AI systems are now able to understand and generate content on an unprecedented scale. is a brand new capability that was recently announced by Box to harness the power of these advanced AI models in the Box Content Cloud. Box AI will make it easier than ever to uncover and share insights, find timely answers to critical questions, and effortlessly create content based on an organization’s data in Box. Box AI is also the fundamental instrument for Intelligent Content Management. This involves intelligent metadata extraction, workflow automation, agentic workflows and more. As an ML Infra engineer on the AI Platform team, you will play a pivotal role in developing core capabilities that drive Box AI. This presents a unique opportunity to work at the forefront of machine learning and generative AI technologies while making a significant impact on how billions of enterprise users accomplish their work. WHAT YOU'LL DO • Build out core components of the AI Platform to power new Box AI capabilities such as Audio and Video AI., • Implement and maintain pipelines for Retrieval Augmented Generation (RAG) and Vector Search., • Work closely with ML engineers to implement multi-agent systems using LLMs to perform tasks autonomously., • Optimize systems to improve scalability and availability of the platform. WHO YOU ARE • You are passionate about building infrastructure that powers machine learning systems., • You like to be an owner and strive to do work you're proud of, both technically and in your team interactions., • Able to inspire other people to work with you, and you enjoy mentoring and coaching, as well as learning from other engineers., • You've built, deployed, and supported ML/AI systems at scale., • You have strong analytical and problem-solving skills, with the ability to work with large and complex distributed systems. Required skills • Rough data-driven solutions, • Ownership mindset with focus on delivering high-quality work both technically & collaboratively, • Proficiency with at least one object oriented language like Python, C, C++, Java, Scala, • Bachelors degree in Computer Science, Statistics, Mathematics, Physics, or a related field, • Strong understanding of statistical modeling, data structures, and algorithms Preferred skills • Familiarity with distributed system concepts and understanding of large scale systems, • Familiarity with natural language processing, query understanding, and large language models, • Familiarity with Large Language Models, RAG, Agentic Frameworks like LangChain LEARN MORE ABOUT BOX AI Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 2 days per week, with a focus on Tuesdays and Thursdays. Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete ___. Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance. The Fair Chance Ordinance is provided ___. Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance. The Fair Chance Ordinance is provided ___. For details on how we protect your information when you apply, please see our ___ If you are a California-resident, please read our California Applicant & Candidate Privacy Notice ___. Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information on benefits, check out our ___ and additional ___. In accordance with OFCCP compliance, here is the ___. United States Pay Range $125,500 - $157,000 USD

About the Team OpenAI is dedicated to ensuring that our AI systems are safe, trustworthy, useful, and consistently aligned with human values, even as they scale in complexity and capability. Our research focuses on methods that help AI reliably follow human intent in diverse scenarios—including adversarial or high-stakes settings—and ultimately maximize its benefit to individuals and society. A critical component of our approach involves leveraging high-quality human and synthetic data to train and evaluate models, ensuring alignment techniques remain effective as capabilities grow. We work with experts across domains and modalities to develop scalable methods for generating high-quality data, and using it to produce safe and useful models. The two pillars of our approach are: (1) harnessing improved capabilities into alignment, making sure that our alignment techniques improve, rather than break, as capabilities grow, and (2) centering humans by developing mechanisms and interfaces that enable humans to both express their intent and to effectively supervise and control AIs, even in highly complex situations. We're looking for individuals with strong ML engineering skills, research experience, and a deep understanding of Human-Machine Interaction challenges, especially with novel and highly capable models. About the Role As a Research Engineer, you will: * Research and model mechanisms that create value for people, with an emphasis on explaining or predicting preferences, behaviors, and satisfaction. * Quantify the nuances of human behavior and capture them in data-driven systems, whether by designing advanced labeling tasks or analyzing user feedback patterns * Design robust evaluations for measuring alignment and real-world utility, iterating quickly to uncover what makes certain feedback and training protocols more effective. * Design and evaluate new Human-AI-interaction paradigms and scalable oversight methods that redefine how humans interact with, understand, and supervise our models. * Develop and evaluate alignment capabilities that are subjective, context-dependent, and hard to measure. You might thrive in this role if you: * Have experience with machine learning frameworks (e.g., PyTorch) and are comfortable experimenting with large-scale models. * Enjoy moving fluidly between high-level research questions and low-level implementation details, adapting methods to solve ambiguous, dynamic problems. * Are goal-oriented instead of method-oriented, and are not afraid of tedious but high-value work when needed. * Have an interest or background in cognitive science, computational linguistics, human-computer interaction, or social sciences. * Are strongly motivated by OpenAI’s mission of building safe, universally beneficial AGI and are aligned with OpenAI’s charter * Want to work on systems that balance breakthrough capabilities with robust alignment, ultimately shaping a safer and more human-centered AI landscape. * Excel in fast-paced, collaborative, and cutting-edge research environments. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this ___. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. To unlock the full potential of AI, models need more—and better—audio data. That’s where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we’ve brought on most FAANG companies and AI labs as customers. We recently raised a $25M Series A from Tier 1 investors like Jack Altman (Alt Capital), Amplify Partners, First Round Capital, Y Combinator, and more. Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product and operations minds to join us on our mission to revolutionize audio AI. As an Applied ML Engineer at David AI you'll build cutting-edge speech and audio models, production inference systems and resilient pipelines that showcase what high-quality data can really do. You will: * Research, design, and implement solutions using advanced signal processing algorithms and bleeding edge ML models with application to speech and audio. * Develop production-grade inference algorithms, pipelines, and APIs with cross-functional teams that unlock key insights into our data for our customers. * Collaborate with our Operations team to gather useful training and evaluation datasets to improve the quality of our models. * Architect the systems that enable resilient, durable inference and evaluations. * Have full autonomy to drive the ML roadmap, influence technical direction, and lead research and infrastructure investments. * 5+ years of professional ML experience including DSP/ML audio algorithm development. * Demonstrated experience owning ML pipelines end-to-end, from POC to production. * Ability to translate research ideas or papers into high-quality Python code. * Proficiency in Python and common Deep Learning frameworks like PyTorch. * Ability to think broadly and cross-functionally about model quality in the context of user experience and the business value. * Experience working with cloud technologies (eg. AWS or GCP) and developing machine learning models in a cloud environment. * PhD or Masters in Computer Science or a related field. * Experience training generative AI models. * Expertise in audio signal processing, both classical and machine learning techniques. * Led ML teams, setting direction and driving development cadence. * Rapid career growth at one of the fastest growing Series A companies, within a new and booming industry. * Competitive salary and equity package. * Flexible PTO policy. * Top-notch health, dental, and vision coverage with 100% company reimbursement for most plans. * Paid lunch and dinner in the office, every day through DoorDash. * 401k access.

FocusKPI is looking for an Android AI ML Engineer - Infrastructure to join one of our clients, a high-tech SaaS company. The client is seeking an experienced Android AI/ML Engineer - Infrastructure to develop advanced on-device machine learning systems that enable secure, adaptive, and scalable intelligence across mobile devices. The role emphasizes building intelligent, adaptive, and privacy-preserving ML systems that operate efficiently within the constraints of mobile environments. The ideal candidate will have strong experience in designing real-time, context-aware inference systems that can respond dynamically to local data patterns and behaviors. Work Location: Mountain View, CA (on-site 4 days a week) Duration: 6-month contract; hybrid role Pay Range: 80/hr to $93/hr No C2C resumes are considered Responsibilities: • Design, develop, and deploy on-device machine learning models optimized for Android, ensuring low latency and minimal resource consumption., • Build robust and scalable ML pipelines using Android-native frameworks such as:, • TensorFlow Lite, • ML Kit (including GenAI APIs), • MediaPipe, • PyTorch Mobile, • Implement local signal aggregation and real-time pattern recognition logic to enable responsive in-app actions driven by on-device inference., • Architect systems that support telemetry, secure logging, and privacy-first feedback collection for monitoring and evaluation., • Apply model compression and optimization techniques (e.g., quantization, pruning, distillation) to meet mobile performance constraints., • Develop secure, privacy-first solutions where all data processing and ML inference occur strictly on-device, with no external data exposure., • Enable mechanisms for continuous local learning and model updates using device-resident data and signals, without compromising privacy., • 5-7 years of experience with a Master's degree, 3+ years of experience with a PhD, • A candidate with a strong on-device ML experience is highly prioritized and required, • A strong understanding of system architecture, resource management, and performance tuning., • Hands-on expertise with on-device ML frameworks including TensorFlow Lite, ML Kit, MediaPipe, and PyTorch Mobile., • Solid foundation in machine learning and signal processing techniques, such as time-series modeling, clustering, classification, and real-time event detection., • Strong knowledge of mobile data handling and Android security practices, including permissions, sandboxing, and secure data storage., • Strong experience with model optimization and backend integration, • Understanding of privacy-preserving learning techniques and data governance in mobile environments., • Familiarity with secure data handling on Android, including encrypted storage, permissions, sandboxing, and secure compute enclaves., • Experience with telemetry systems and evaluation pipelines for monitoring model performance on-device at scale., • Experience building ML-driven mobile applications in domains requiring user personalization, privacy, or security., • Understanding of real-time data processing and behavioral modeling on resource-constrained edge devices., • Knowledge of on-device learning techniques, federated learning, or personalization methods., • Prior contributions to systems using federated learning, differential privacy, or local fine-tuning of models are a plus, • Experience with backend infrastructure for model management (e.g., model registries, update orchestration, logging frameworks) is a plus., • Prior work with anomaly detection or behavioral modeling in resource-constrained environments is a plus., • Experience developing responsive systems capable of monitoring local context and dynamically triggering actions based on model outputs is a plus Thank you! FocusKPI Hiring Team Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts. NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to ___ . The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.

David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. To unlock the full potential of AI, models need more—and better—audio data. That’s where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we’ve brought on most FAANG companies and AI labs as customers. We recently raised a $25M Series A from Tier 1 investors like Jack Altman (Alt Capital), Amplify Partners, First Round Capital, Y Combinator, and more. Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product and operations minds to join us on our mission to revolutionize audio AI. As a Founding Audio AI Research Engineer, you will drive our research roadmap—shaping strategy, leading model development, and working closely with customers and internal teams to deliver high-quality data. You will: * Develop and publish benchmarks and research to evaluate audio and speech quality, collaborating with academic and industry partners to advance the field and set new standards. * Work with researchers across leading AI labs and organizations to build out our data roadmap that will enable future speech models and applications. * Collaborate with our product and operations team to design and conduct experiments that collect high-quality audio data to fuel your cutting-edge research. * Set strategic and technical direction around our R&D roadmap based on latest research. * Ph.D. or Master’s degree in Computer Science, Machine Learning, Electrical Engineering, or a related field with a focus on speech or audio. * Experience with training and evaluating generative audio models. * A deep understanding of Digital Signal Processing fundamentals. * A strong research portfolio with publications at top venues. * Collaborative mindset and experience leading research agendas with product and other teams. * Experience in dataset design and conducting empirical analysis of audio data distributions, identifying biases or gaps, and proposing strategies for improved dataset design or collection. * Research-oriented software engineering skills, including fluency with technologies like PyTorch, TensorFlow, Scikit-learn and Pandas. * Leadership experience in a research setting. * Prior startup experience. * Rapid career growth, at one of the fastest growing Series A companies, within a new and booming industry. * Competitive salary and equity package. * Flexible PTO policy. * Top-notch health, dental, and vision coverage with 100% company reimbursement for most plans. * Paid lunch and dinner in the office, every day through DoorDash. * 401k access.

tl;dr - We're looking for a highly motivated and skilled Senior Machine Learning Engineer to build the future of AI productivity software. You will work on cutting-edge research, deploy state-of-the-art proprietary models — see our work on ScribeAgent___ —to millions of users, and be at the forefront of the AI field. About this role In this role, you will be part of our growing team of 5 elite engineers trained at the world's best ML/AI programs. The hiring manager is ___, and you will be responsible for: * Driving the AI vision for the company, continuously refining it based on user needs, market dynamics, and cutting-edge research. * Exploring and applying cutting-edge AI techniques to translate innovations into valuable features for our millions of users * Spearheading the end-to-end development of our state-of-the-art proprietary models, ensuring they deliver exceptional user experiences * Designing experiments and rapidly iterating to increase the performance of our models with regard to evaluation metrics * Collaborating cross-functionally with our very talented engineering and product management teams to deliver scalable solutions ___ from our amazing ML Engineer, ___, about what it's like to build at Scribe. About you You’d be a great fit for this role if you: * Have 2+ years of hands-on experience training large language models leveraging multiple modalities, including text and images * Prioritize user impact over technical complexity for its own sake, thoughtfully choosing the right tools and approaches * Demonstrate strong intuitions of fundamental ML concepts (e.g., fluency in overfitting, generalization, back-propagation, etc.) * Have strong software engineering skills (Python, Jupyter, etc.) and experience with distributed training frameworks (e.g., PyTorch, JAX, Accelerate, FSDP) * Have experience with alignment techniques (instruction-based finetuning, RLHF, etc.) * Excel at ideation, love to rapidly test emerging techniques, and turn your innovative ideas into practical applications * Exhibit an owner mentality and enjoy independently identifying challenges, proposing thoughtful solutions, and fully owning outcomes * Have a track record of successfully owning projects from start to finish * Collaborate exceptionally well, recognizing that teamwork amplifies impact, and you enjoy inspiring and elevating your team * Are passionate about the future of AI agents, and eager to shape it About Scribe ___ is where exceptional people come to do the best work of their careers. More than 94% of the Fortune 500 use Scribe to document and scale how work gets done. We’re growing fast — since our founding in 2019, we’ve grown to over 4 million users across 600,000 businesses. Based in San Francisco, we've raised $55M in funding from top-tier investors and are honored to have been named as a Forbes Next Billion Dollar Startup and LinkedIn Top Startup. Join us in our mission to uplevel how people do work. We are builders aspiring to master our crafts. We care deeply about our teammates and want to win, together. We embrace the following values: * Accelerate impact * Raise the bar * Make our users heroes * Clear is kind * Rapid learning machine * One team, one dream Full-Time US Employee Benefits Include * Some of the nicest and smartest teammates you’ll ever work with * Competitive salaries * Comprehensive healthcare benefits * Equity in a hypergrowth startup * Flexible PTO * 401k * Parental Leave * Commuter Benefits (SF office employees) * WFH Stipend $170,000 - $220,000 base + Equity + Benefits. We consider several factors when determining compensation, including location, experience, and other job-related factors. Hybrid position (need to commute to downtown San Francisco 3+ days a week) unless this is someone with more experience (5+ years) or immensely talented. At Scribe, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. Scribe is proud to be an Equal Opportunity and Affirmative Action Employer.

Our Mission Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™" Our Values One Team, One DreamWe work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. Own ItWe take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. Never Stop LearningWe cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. Spark SolutionsWe’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our DifferencesWe are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. The Team The Engineering team is responsible for building innovative features and resilient systems that bring people together. We're always experimenting with new features to engage with our members. Although we are a high-scale tech company, the member-to-engineer ratio is very high—making the level of impact each engineer gets to have at Tinder enormous. Our ML team is responsible for developing machine learning algorithms and systems for Tinder recommendations. Recommendation algorithms directly determine potential matches on Tinder and optimize the entire ecosystem to drive critical business metrics. You'll have a unique opportunity to join a company with a global footprint while working on a team small enough for you to feel the impact each day. About The RoleAs a Staff Software Engineer focused on recommendations, you'll play a pivotal role in shaping the future of personalized matchmaking at Tinder. Working closely within our ML team, you'll design, implement, and scale systems that influence millions of users worldwide. Leveraging cutting-edge machine learning techniques, you'll drive key innovations that enhance user experiences and improve critical business outcomes. Your work will directly contribute to optimizing our recommendation algorithms, ensuring users discover meaningful connections while balancing the ecosystem's health. With Tinder's global scale and impact, you'll be at the forefront of solving some of the most complex challenges in technology. Where you'll workThis is a hybrid role and requires in-office collaboration twice per week. This position is located in Palo Alto, CA. In this role, you will: • Lead the modeling efforts of Tinder’s recommendation system., • Apply state-of-the-art machine learning techniques, including deep learning, reinforcement learning, causal inference, and optimization, to enhance our foundational models., • Develop algorithms that optimize our complex ecosystem to meet multiple disparate objectives., • Lead the research and development of novel algorithms and models, staying at the forefront of advancements in ML technologies., • Work with big data to improve the accuracy and relevance of recommendations., • Collaborate with other machine learning engineers, backend software engineers, and product managers to integrate ML models into our systems, improving user experience and driving business objectives., • 8+ years of hands-on experience in machine learning, with a proven track record of delivering impactful solutions at scale., • PhD or MS in machine learning, computer science, statistics, or another highly quantitative field., • Hands-on experience in designing and building large-scale recommendation systemsIn-depth knowledge of deep neural networks, particularly in the recommendations., • Proficiency in deep learning frameworks such as PyTorch, TensorFlow, Keras, etc., • Proficiency in Python, Java, Scala, or similar programming languages., • Strong decision-making skills with a bias for action and the ability to navigate ambiguity with confidence. #Tinder

Quantum computing holds the promise of humanity’s mastery over the natural world, but only if we can build a real quantum computer. PsiQuantum is on a mission to build the first real, useful quantum computers, capable of delivering the world-changing applications that the technology has long promised. We know that means we will need to build a system with roughly 1 million qubits that supports fault tolerant error correction within a scalable architecture, and a data center footprint. By harnessing the laws of quantum physics, quantum computers can provide exponential performance increases over today’s most powerful supercomputers, offering the potential for extraordinary advances across a broad range of industries including climate, energy, healthcare, pharmaceuticals, finance, agriculture, transportation, materials design, and many more. PsiQuantum has determined the fastest path to delivering a useful quantum computer, years earlier than the rest of the industry. Our architecture is based on silicon photonics which gives us the ability to produce our components at Tier-1 semiconductor fabs such as GlobalFoundries where we leverage high-volume semiconductor manufacturing processes, the same processes that are already producing billions of chips for telecom and consumer electronics applications. We also benefit from the quantum mechanics reality that photons don’t feel heat or electromagnetic interference, allowing us to take advantage of existing cryogenic cooling systems and industry standard fiber connectivity. In 2024, PsiQuantum announced two government-funded projects to support the build-out of our first Quantum Data Centers and utility-scale quantum computers in Brisbane, Australia and Chicago, Illinois. Both projects are backed by nations that understand quantum computing’s potential impact and the need to scale this technology to unlock that potential. And we won’t just be building the hardware, but also the fault tolerant quantum applications that will provide industry-transforming results. Quantum computing is not just an evolution of the decades-old advancement in compute power. It provides the key to mastering our future, not merely discovering it. The potential is enormous, and we have the plan to make it real. Come join us. There’s much more work to be done and we are looking for exceptional talent to join us on this extraordinary journey! Job Summary: Join the OS/Platform team as a Site Reliability Engineer (SRE) and keep our services healthy, observable, and fast. Partnering with the Platform Engineering group, you’ll own the day‑to‑day operation of our monitoring stack—Grafana, Prometheus, Loki, and Tempo—crafting dashboards that surface golden signals and drive real‑time insight. You’ll codify reliability through SLIs/SLOs, automate runbooks in Python, and lead incident response to maintain world‑class uptime across both on‑prem and AWS environments. Responsibilities: • Define, implement, and iterate on Service Level Indicators & Service Level Objectives (SLIs/SLOs) and error budgets for critical services., • Build and maintain Grafana dashboards that visualize golden signals (latency, traffic, errors, saturation) for engineers and stakeholders., • Operate and tune our observability pipeline (Prometheus, Loki, Tempo) to ensure scalable, low‑latency telemetry ingestion and alerting., • Drive incident response: triage, mitigate, perform post‑incident reviews, and implement preventive actions., • Develop automation and self‑service tooling in Python/Bash to streamline alerts, runbooks, and operational tasks., • Collaborate with Platform and Product teams on capacity planning, performance testing, and change management., • Improve CI/CD health checks and release safety nets within GitLab., • Contribute to infrastructure as code (Terraform, Ansible) for monitoring stack deployments and upgrades. Experience/Qualifications: • Bachelor’s Degree or higher in Computer Science, Engineering or other related technical field., • 5+ years in an SRE, DevOps, or Production Engineering role supporting distributed systems in production., • Hands‑on expertise with observability tools: Grafana, Prometheus, Loki, Tempo (or equivalent)., • Proven track record designing dashboards and alerts around golden signals and (Utilization, Saturation, Errors) USE and RED (Rate, Errors, Duration) methodologies., • Solid scripting/automation skills in Python and Bash; familiarity with GitLab CI pipelines., • Operational experience with Kubernetes and containerized workloads., • Working knowledge of AWS services, networking fundamentals, and load balancing., • Experience running incident response and writing actionable post‑mortems., • Familiarity with Infrastructure as Code (Terraform, Ansible) and configuration management., • Exposure to regulated environments and multi‑region architectures is a plus., • Strong communication and collaboration skills; comfortable acting as a generalist across infrastructure, application, and data layers. PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws. Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to ___. We are not accepting unsolicited resumes from employment agencies. The ranges below reflect the target ranges for a new hire base salary. One is for the Bay Area (within 50 miles of HQ, Palo Alto), the second one (if applicable) is for elsewhere in the US (beyond 50 miles of HQ, Palo Alto). If there is only one range, it is for the specific location of where the position will be located. Actual compensation may vary outside of these ranges and is dependent on various factors including but not limited to a candidate's qualifications including relevant education and training, competencies, experience, geographic location, and business needs. Base pay is only one part of the total compensation package. Full time roles are eligible for equity and benefits. Base pay is subject to change and may be modified in the future. U.S. Base Pay Range $120,000—$140,000 USDBay Area Pay Range $145,000—$165,000 USD

Our Mission Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™" Our Values One Team, One DreamWe work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. Own ItWe take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. Never Stop LearningWe cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. Spark SolutionsWe’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our DifferencesWe are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. The Team The Engineering team is responsible for building innovative features and resilient systems that bring people together. We're always experimenting with new features to engage with our members. Although we are a high-scale tech company, the member-to-engineer ratio is very high—making the level of impact each engineer gets to have at Tinder enormous. The Trust and Safety team focuses on enhancing account authenticity, mitigating adversarial impact, building public trust, and enabling safer experiences for millions of users globally on Tinder. You will have an opportunity to work on a team that helps support one of our primary missions: ensuring that Tinder remains the safest place to meet new people. About The RoleAs a Software Engineer, Machine Learning focused on Trust & Safety, you'll play a pivotal role in shaping the future of Tinder. Our Trust & Safety ML team is responsible for developing machine learning algorithms and systems to keep Tinder members safe and authentic. The team develops cutting-edge technologies in Generative AI, Nature Language Processing (NLP), and Computer Vision (CV) to detect bad actors and content. You'll have a unique opportunity to join a company with a global footprint while working on a team small enough for you to feel the impact each day. With Tinder's global scale and impact, you'll be at the forefront of solving some of the most complex challenges in technology. Where You'll Work This is a hybrid role and requires in-office collaboration twice per week. This position is located in Palo Alto, CA In this role, you will: • Create the modeling efforts of Tinder’s Trust and Safety experiences., • Apply state-of-the-art machine learning techniques, including Generative AI, CV, NLP, etc., • Help research and develop novel algorithms and models, staying at the forefront of advancements in ML technologies., • Work with big data to improve the accuracy and relevance of models., • 1+ years of hands-on experience in machine learning, with a proven track record of delivering impactful solutions at scale, • PhD or MS in machine learning, computer science, statistics, or another highly quantitative field. #Tinder

Every enterprise spends millions of dollars on Governance, Risk, and Compliance (GRC). It's one of the most critical, yet universally painful, parts of running a business. For decades, this industry has been dominated by legacy systems with notoriously low NPS scores, making it totally ripe for disruption. Zania is building agentic AI for Governance, Risk, and Compliance (GRC) to solve this massive problem. We are on a rocketship trajectory, creating intelligent agents that automate and augment the most complex risk and compliance workflows. We have found exceptional product-market fit and are scaling our team very quickly. Some reasons to join Zania are: * Dream Customers: Our customers are the most notable enterprises in the world, including FAANG, Big 4 firms and a portfolio of top customers. * Tier 1 Backing: Funded by a leading Tier 1 venture capital fund, giving us the resources to build a generational company. * World-Class Team: Zania is hiring the best. Our team includes AI and Security leaders from Airbnb, Microsoft, Bain & Company, Deloitte, PwC, Brex, and Instacart. * Pioneering Technology: Our engineers and GRC experts work at the absolute forefront of applied AI, building the next generation of agentic systems that will define the future of compliance. * Hyper-Growth: We have seen 10x ARR growth in the last year and are rapidly expanding. * Competitive Compensation & Equity. As a Staff Applied AI Engineer, you will lead the charge in creating AI systems designed to outperform the world's leading experts in Governance, Risk, and Compliance (GRC). We are seeking an engineer to build production AI systems with a fanatical focus on accuracy, innovation, and responsible design. You will own and build the AI-native products that set a new global standard for GRC. This role is based in our Palo Alto, CA office. We use an in-person work model and offer relocation assistance. * Build & Fine-Tune Models: Lead the fine-tuning of foundation models on proprietary data and implement novel techniques to achieve world-class accuracy and precision on complex GRC tasks. * Develop AI-Native Workflows: Design and build sophisticated, multi-step agentic workflows that automate complex GRC processes, from risk assessment to compliance monitoring. * Champion Responsible AI: Implement and pioneer methods for AI explainability and safety, ensuring our systems are transparent, auditable, and fair. * Drive Innovation: Rapidly prototype, evaluate, and integrate state-of-the-art AI research (agents, RAG, new architectures) into reliable, production-grade features. * Design and build an AI agent to analyze thousands of regulatory documents and internal controls, identifying potential compliance gaps with a higher accuracy rate than a team of human experts. * Develop a novel, explainable AI system for our risk assessment models, allowing auditors and executives to understand and trust the AI's reasoning for high-stakes decisions. * Architect an advanced Retrieval-Augmented Generation (RAG) pipeline over a massive corpus of unstructured company data to provide precise, verifiable assessments over complex compliance requirements. * Partner with GRC subject matter experts to create a ground-truth dataset for a complex task, like third-party risk evaluation, and use it to fine-tune a model that becomes the industry standard. * 6+ years of experience (post-M.S./Ph.D.) in an applied AI or machine learning engineering role. * Proven Product Sense: You have a track record of shipping reliable, production-scale ML products and understand how to use offline evaluation and online experimentation to achieve high-performance results. * Expertise in Applied AI: You have direct, hands-on experience building with LLMs, including fine-tuning, Retrieval-Augmented Generation (RAG), and agentic systems. * High-Agency & Drive: You demonstrate a relentless drive for world-class accuracy and take full ownership of outcomes, moving with a bias for action in fast-paced environments. You see challenges as growth opportunities. * Exceptional Communication: You can clearly communicate with Security research counterparts. Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above. Equity: In addition to the base salary, equity may be part of the total compensation package. Zania is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

Job DescriptionWe are seeking a Flight Sciences Test engineer who will support and participate in all phases of aircraft development from initial aircraft mission performance analyses to real-time flight test support and dataanalysis. You will be responsible for developing processes and tools for post flight test data reduction and expansion from aircraft flight manual development. This position is unique as it spans large parts for the engineering design cycle and supports both the Flight Sciences and Test & Evaluation groups. Duties: -Analyze aircraft performance for nominal and failure scenarios, and produce engineering reports.•Develop and extend Honda performance analysis tools and processes to continue to build efficiency andcapability going forward.•Generate detailed flight test plans including test hazard analysis•Coordinating reviews and test planning with the test pilots and other engineers.•Define instrumentation requirements for test events•Realtime support for Flight Test missions via telemetry•Predict aircraft flight/ground test results by using models, compare the prediction to test data to identify andresolve issues, and update the models/design as needed. Requirements: -Bachelor's Degree in a relevant engineering area, with a Master's Degree is•5 to 10 years of experience as a performance, flight science, or flight test engineer in aerospace industry, either of eVTOL, rotorcraft or airplane.•Participation in performance flight test events on either fixed-wing, rotorcraft, or powered-lift.•Knowledgeable in rotorcraft and/or airplane design, performance analysis•General theoretical background in aerodynamics, flight dynamics and physics, mass properties.•Strong programming skills in tools such as MATLAB/Simulink.•General knowledge of 14 CFR Part 23/25/27/29 requirements for aircraft.•Strong verbal and written communication skills.•Ability to work in highly dynamic, research and development environments.•Understands the requirement of operations specifications per FAR 91, FAR 121, and 135.•Knowledge and experience with C++, Python programming, or other engineeringprograming languages. Preferred: -Knowledge and experience with CFD analysis toolsets.•Capability with aerodynamic prediction tools such as vortex-lattice and panel codes.•Electric propulsion test experience.•Private or commercial pilot license. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Our Mission Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™" Our Values One Team, One DreamWe work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. Own ItWe take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. Never Stop LearningWe cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. Spark SolutionsWe’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our DifferencesWe are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. The TeamThe Engineering team is responsible for building innovative features and resilient systems that bring people together. We're always experimenting with new features to engage with our members. Although we are a high-scale tech company, the member-to-engineer ratio is very high—making the level of impact each engineer gets to have at Tinder enormous. The Trust and Safety team focuses on enhancing account authenticity, mitigating adversarial impact, building public trust, and enabling safer experiences for millions of users globally on Tinder. You will have an opportunity to work on a team that helps support one of our primary missions: ensuring that Tinder remains the safest place to meet new people. About The RoleAs a Staff Software Engineer focused on Trust & Safety, you'll play a pivotal role in shaping the future of Tinder. Our Trust & Safety ML team is responsible for developing machine learning algorithms and systems to keep Tinder members safe and authentic. The team develops cutting-edge technologies in Generative AI, Nature Language Processing (NLP), and Computer Vision (CV) to detect bad actors and content. You'll have a unique opportunity to join a company with a global footprint while working on a team small enough for you to feel the impact each day. With Tinder's global scale and impact, you'll be at the forefront of solving some of the most complex challenges in technology. Where you'll workThis is a hybrid role and requires in-office collaboration twice per week. This position is located in Palo Alto, CA. In this role, you will: • Lead the modeling efforts of Tinder’s Trust and Safety experiences., • Apply state-of-the-art machine learning techniques, including Generative AI, CV, NLP, etc., • Lead the research and development of novel algorithms and models, staying at the forefront of advancements in ML technologies., • Work with big data to improve the accuracy and relevance of models., • Collaborate with other machine learning engineers, backend software engineers, and product managers to integrate ML models into our systems, improving user experience and driving business objectives., • 8+ years of hands-on experience in machine learning, with a proven track record of delivering impactful solutions at scale., • PhD or MS in machine learning, computer science, statistics, or another highly quantitative field., • Hands-on experience in the Trust & Safety domain., • In-depth knowledge of deep neural networks, particularly in the safety domain., • Proficiency in deep learning frameworks such as PyTorch, TensorFlow, Keras, etc., • Proficiency in Python, Java, Scala, or similar programming languages., • Strong decision-making skills with a bias for action and the ability to navigate ambiguity with confidence. #Tinder

#LI-Onsite On-Call Requirement: Yes (Periodic Rotation) 2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). Founded in 2005, 2K Games is a global video game company, publishing titles developed by some of the most influential game development studios in the world. Our studios responsible for developing 2K’s portfolio of world-class games across multiple platforms, include Visual Concepts, Firaxis, Hangar 13, CatDaddy, Cloud Chamber, 31st Union, HB Studios, and 2K SportsLab. Our portfolio of titles is expanding due to our global strategic plan, building and acquiring exciting studios whose content continues to inspire all of us! 2K publishes titles in today’s most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment. Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers, are the professional publishing stewards of 2K’s portfolio currently includes several AAA, sports and entertainment brands, including global powerhouse NBA®️ 2K, renowned BioShock®️, Borderlands®️, Mafia, Sid Meier’s Civilization®️ and XCOM®️ brands; popular WWE®️ 2K and WWE®️ SuperCard franchises, TopSpin 2K25, as well as the critically and commercially acclaimed PGA TOUR®️ 2K At 2K, we pride ourselves on creating an inclusive work environment, which means encouraging our teams to Come as You Are and do your best work! We encourage ALL applicants to explore our global positions, even if they don’t meet every requirement for the role. If you're interested in the job and think you have what it takes to work at 2K, we encourage you to apply! We are seeking a Senior Site Reliability Engineer (SRE) with deep expertise in Unix/Linux systems architecture, distributed infrastructure, and automation tooling to help scale and sustain mission-critical platforms that serve millions of active users worldwide. You’ll play a leading role in building resilient, high-performance services for live gaming environments—balancing system stability, scalability, and operational velocity. As part of our SRE team, you’ll work across a complex technology stack spanning AWS, GCP, and hybrid on-prem environments. You’ll be responsible for building auto-scaling, self-healing Unix-based systems, optimizing OS internals, and integrating authentication across enterprise identity systems. You’ll lead the design of high-availability architecture, implement disaster recovery, apply advanced performance tuning across kernel, network, and filesystem layers, and define/enforce observability standards using Datadog, Grafana, and open-source telemetry tools. Your efforts will power real-time insights, automated alerting, and rapid incident detection and resolution. As a senior member of the on-call rotation, you’ll handle critical outages, lead post-mortems, and design long-term preventative solutions. Automation is foundational to this role. You’ll build and maintain infrastructure-as-code (IaC) with tools like Terraform, puppet, and Ansible, orchestrating deployments, configurations, and updates across heterogeneous environments. You’ll extend platform APIs and backend tooling using Python, and Shell scripts, driving continuous improvement in platform delivery. Collaboration is key: You’ll partner with backend and gameplay engineers to embed reliability into every layer of the tech stack. You’ll contribute to shared reliability standards, CI/CD integration pipelines, provisioning templates, and internal documentation. As a mentor, you’ll share your expertise in debugging, system architecture, and tooling best practices, empowering engineers across disciplines to build complex resilient systems. • Design and operate distributed Unix-based systems (Red Hat, Ubuntu, Debian, CentOS)., • Implement auto-scaling and self-healing infrastructure to ensure uptime and durability., • Tune system internals including kernel parameters, networking, and filesystems for high performance., • Maintain timely OS patching and compliance posture across environments., • Integrate systems with enterprise identity services such as Active Directory, LDAP, and Kerberos., • Build and maintain infrastructure automation using Terraform, puppet, Ansible., • Automate deployment pipelines, service configurations, and patch management., • Develop scripts and services in Python, and Bash/Shell to enhance infrastructure delivery workflows., • Extend APIs and platform automation to drive efficiency and repeatability., • Develop observability stacks using Datadog, Prometheus, Grafana, and open-source telemetry tools., • Create dashboards and SLO/SLI-based alerts for real-time monitoring of production systems., • Participate in a global 24/7 on-call rotation, leading response for high-severity incidents., • Conduct post-incident analysis (RCA) and drive remediations that improve long-term reliability., • Manage workloads across AWS, GCP, and on-prem infrastructure., • Design and implement multi-region failover, load balancing, and disaster recovery strategies., • Work with both VM-based and containerized/Kubernetes platforms including vSphere/VMware., • Support backup, restore, and DR tooling with strict availability targets., • Partner with development teams to embed reliability in deployment pipelines., • Help define system architecture standards and maintain robust platform documentation., • Mentor engineers in Unix performance, observability, and debugging practices., • Champion a culture of automation, resilience, and continuous improvement., • 7+ years in SRE, Infrastructure, or Systems Engineering roles managing production services., • Deep expertise with Unix/Linux systems including Red Hat, Debian, Ubuntu, and CentOS., • Experience in kernel tuning, performance profiling, and debugging complex system issues., • 6+ years working in AWS and/or GCP with large-scale, distributed applications., • Advanced skills in Python, Shell scripting, and optionally Go or Ruby., • Strong grasp of IaC tools like Terraform, Ansible, and puppet., • Experience running hybrid infrastructure (cloud/on-prem) with VMware, containers, and Kubernetes., • Hands-on experience with monitoring, telemetry, and observability stacks., • Experience supporting live game services or other high-throughput, low-latency platforms., • Contributions to open-source tooling in observability, automation, or infrastructure domains., • Familiarity with telemetry pipelines like ETL, Flink, Kafka, or Kinesis., • Experience with Kubernetes-native tooling and service meshes (e.g., Istio, Linkerd)., • Operational knowledge of MySQL/Postgres in cloud-native and bare-metal deployments. You thrive in collaborative environments that value technical skill and operational excellence. Your passion for high-quality infrastructure empowers development teams and enhances productivity. As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation. Please note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts. The pay range for this position in California at the start of employment is expected to be between $98,400 and $145,620 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses.

The Revi Mission 🚀 Brick and mortar is not dead but drastically changing, and Revi is leading that change into the future. 31 years ago, Web 1.0 started and it gave people the ability to click hyperlinks and read text. When Web 2.0 came about 10 years later, it revolutionized the world. It allowed people to do things like buy, ship, mail, shop, and ___ the past, doing these things was only reserved for an in-person physical experience, but they can now be done online. That one technological advancement, though simple, changed the world. Now, the internet is so robust that there are things you can do online that you cannot do in a physical location. This is the next great shift in the market that Revi is calling Web ___ are now trying to bring this digital experience into physical stores in their own siloed ecosystems. For example, Uber brings a simplified way to interact with cabs in the physical world, Bonobos brings a simplified way to interact with their physical retail stores, and the Amazon Go store simplifies purchasing in its physical stores. Revi is looking to bring this way of interacting with physical locations to all consumers, no matter what physical store you walk ___ offers businesses an in-store digital platform that allows businesses to build long-lasting relationships with their customers and allows consumers to interact with any business they walk into digitally. Our product is a beautifully designed in-store self-ordering system where consumers can buy, pay, get rewards, and much more. The data collected is leveraged to improve the ordering experience and attract new consumers. With a fresh round of Series A funding from top Silicon Valley seed investors, we are ready to pursue a multi-billion dollar ___Brick and mortar is not dead but drastically changing, and Revi is leading that change into the future. 31 years ago, Web 1.0 started and it gave people the ability to click hyperlinks and read text. When Web 2.0 came about 10 years later, it revolutionized the world. It allowed people to do things like buy, ship, mail, shop, and the past, doing these things was only reserved for an in-person physical experience, but they can now be done online. That one technological advancement, though simple, changed the world. Now, the internet is so robust that there are things you can do online that you cannot do in a physical location. This is the next great shift in the market that Revi is calling Web are now trying to bring this digital experience into physical stores in their own siloed ecosystems. For example, Uber brings a simplified way to interact with cabs in the physical world, Bonobos brings a simplified way to interact with their physical retail stores, and the Amazon Go store simplifies purchasing in its physical stores. Revi is looking to bring this way of interacting with physical locations to all consumers, no matter what physical store you walk offers businesses an in-store digital platform that allows businesses to build long-lasting relationships with their customers and allows consumers to interact with any business they walk into digitally. Our product is a beautifully designed in-store self-ordering system where consumers can buy, pay, get rewards, and much more. The data collected is leveraged to improve the ordering experience and attract new consumers. With a fresh round of Series A funding from top Silicon Valley seed investors, we are ready to pursue a multi-billion dollar ___’s an excellent time to join because 🥳 You’ll be joining a collaborative, in-person team at a pivotal moment in our company’s growth. We're laying the foundation for massive scale, and this role will shape the future of our core backend infrastructure to power products across consumer and partner ___You’ll be joining a collaborative, in-person team at a pivotal moment in our company’s growth. We're laying the foundation for massive scale, and this role will shape the future of our core backend infrastructure to power products across consumer and partner ___ Revi Role 👩‍💻 👨🏾‍💻 We’re looking for a seasoned and thoughtful Senior Backend Engineer to design and build scalable backend services that power Revi’s core applications. You’ll develop APIs, manage databases, and collaborate closely with Product and Frontend teams to build reliable, performant systems that support our mission. You’ll play a key role in improving speed, performance, and architecture as we scale. • Design, build, and maintain scalable backend services, RESTful APIs, and microservices in Python (Django Admin), • Optimize performance across distributed systems and relational databases (PostgreSQL), • Lead backend architecture for critical roadmap initiatives, including AI-assisted tooling, payments, and reporting, • Ensure reliability, maintainability, and observability across backend systems, • Collaborate cross-functionally with Product, Design, and Frontend teams to define and deliver features end-to-end, • Drive CI/CD best practices, test coverage, and deployment quality across environments, • Guide infrastructure evolution on AWS, including compute, storage, and monitoring, • Mentor junior engineers and contribute to technical decision-making and code reviews, • 4–6 years of backend engineering experience, preferably in a startup or high-growth environment, • Deep expertise in Python and strong knowledge of backend frameworks like Django (Django Admin a plus), • Hands-on experience building APIs, event-driven systems, and services at scale, • Proficiency in SQL database design, query performance tuning, and NoSQL familiarity, • Working knowledge of AWS services (e.g., ECS/Fargate, RDS, S3, CloudWatch, etc.), • Familiarity with CI/CD pipelines, containerization (Docker), and infrastructure-as-code (e.g., Terraform or CDK), • Comfort using AI coding tools like GitHub Copilot or Cursor as development companions, • A strong product sense and willingness to dive into ambiguous problems with pragmatism, • Clear written and verbal communication skills; team-first mindset, • Experience with payment systems (e.g., Stripe) and other third-party integrations (e.g., Kitchen Hub, Otter, 7Shifts etc.), • Familiarity with observability stacks like Datadog, Sentry, or Prometheus/Grafana, • Contributions to open-source or past experience mentoring junior engineers., • DevOps experience with AWS and other cloud systems., • ❤️ Heart: A team that is passionate about what they do, with a heart of giving back., • 🔨 Impact: Drives backend innovation that directly enables Revi’s platform scale., • 🧠 Conscientious: Writes clean, scalable, and maintainable code that holds up at scale., • 🏆 Excellence: A commitment to quality, testing, and thoughtful architecture., • Equity package, • Competitive salary + bonus, • Professional development opportunities, • Excellent and comprehensive health plans (Medical, dental, vision, etc), • Flexible Vacation Policy, Paid holidays, • Organized volunteer events to give back to our community, • Off-sites, events, and happy hours, • 401(k)$145,000 - $180,000 a yearThanks for applying to Revi! We’re excited to meet builders who care about quality, scale, and innovation. If your experience aligns with the role, a member of our team will reach out to set up next steps. In the meantime, you can explore our work at ___ and follow us on ___.

10x Genomics makes products that enable researchers to answer biology’s hardest and most elusive questions with single cell and spatial biology technology. Software is at the core of our products, accelerating our customers to insight by enabling them to analyze complex data faster and easier. Scientists have used our tools to discover the mechanisms behind Alzheimer's disease, cystic fibrosis, autism, stem cell differentiation, COVID-19, and more. As a Staff Software Engineer on the cloud team, you will play a pivotal role in developing cutting-edge, cloud-based applications on AWS that transform how 10x Genomics data is processed, visualized, and analyzed. You will collaborate with computational biologists, scientists, infrastructure teams, other development teams, and our manufacturing teams. The solutions you build will be used globally by thousands of scientists and research labs processing petabytes of genomics data. What you will be doing • Design, build, test, and ship AWS cloud-based solutions., • Work with scientists, hardware, product management, design, and other software teams to shape new features and services., • Develop scalable systems for efficiently managing petabytes of genomic and image data., • Monitor infrastructure and applications for uptime and resource utilization, identify performance bottlenecks, troubleshoot and mitigate system issues, and develop solutions to improve reliability and performance. Minimum Requirements • Bachelor's degree in computer science, engineering, math, or scientific discipline and 4 years of software development OR 6 years of professional experience building software., • Experience with backend systems (REST APIs, backend services, relational database systems)., • Experience with cloud environment and services (e.g. AWS, Kubernetes, Docker, Grafana) Preferred skills and experience • Strong understanding of computer science fundamentals (e.g. data structures, space and time complexity), • Deep understanding of testing, continuous integration, deployments and live site monitoring., • Experience with Postgres, Go, Typescript., • Willingness to solve problems irrespective of where it is in the tech stack., • Proficiency in experimenting with and applying new AI technologies in day-to-day work., • A background in biology is not required, but curiosity and scientific interest is. Below is the U.S. base pay range for this full-time position. The actual base pay will depend on several factors unique to each candidate, including one’s skills, qualifications, experience, and location. At 10x, base pay is also just one component of the Company’s total compensation package. This role is also eligible for 10x’s equity grants, its comprehensive health and retirement benefit programs, and its annual bonus program or sales incentive program. During the hiring process, your 10x recruiter can share the specific base pay range for your preferred location and more about the Company’s total compensation package. Pay Range $189,100 - $284,500 USD About 10x Genomics At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world. We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience. Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. We know that behind every scientific breakthrough, there is a deep infrastructure of talented people driving the life sciences industry and making it possible for scientists and clinicians to make new strides. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future. Find out how you can make a 10x difference. Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law. 10x does not accept unsolicited applicants submitted by third-party recruiters or agencies. Any resume or application submitted to 10x without a vendor agreement in place will be considered unsolicited and property of 10x, and 10x will not pay a placement fee.

Description Leidos is seeking a Principal Software Engineer (C#) to work for the Security Enterprise Solutions (SES) business unit in Vista, CA. The SES business unit at Leidos designs and manufactures highly complex security equipment for use at border crossings, airports, seaports, and other transportation mechanisms. Our products include radiation detectors and spectrometers, X-ray and gamma ray scanners for cars, trucks and trains, and CT explosives detection equipment for airline passenger baggage. The ultimate goal for this position will be to update existing design as well as introduce new products to our already extensive line of security detection products. The products being developed through this effort are truly novel, and will make travel and trade safer, healthier, and more efficient on a global level. *We are seeking candidates local to Vista CA that have the ability to work a hybrid schedule (3 days remote, 2 days onsite) The Principal Software Engineer (C#) will serve as a senior member of the technical team, providing technical leadership and expertise while fostering collaboration and team consensus. This individual will play a key role in driving innovation, enhancing security compliance, and mentoring other engineers. As part of a cross-functional team, the Principal Software Engineer will develop and maintain cargo inspection detection systems for the Ports and Borders group at Leidos. This role requires advanced technical expertise, a commitment to best practices, and a focus on delivering high-quality, secure software solutions. Key Responsibilities: Technical Contribution and Collaboration: • Contribute to the design, development, testing, and maintenance of services, simulators, and diagnostics (WPF and Blazor) using C#., • Provide technical leadership by guiding architectural decisions, fostering team collaboration, and ensuring alignment with best practices., • Lead the adoption of tools, including AI-based software development tools, to enhance productivity and innovation., • Promote team buy-in and shared ownership of technical solutions and processes. Software Development and Security Compliance: • Develop software that adheres to industry security standards and enhances the security compliance of the codebase and coding practices., • Utilize object-oriented design principles, practices, and patterns to ensure the codebase is reusable and maintainable., • Apply Test-Driven Development (TDD) and Continuous Integration to ensure high-quality, continuously tested code., • Collaborate with Electrical Engineering, Mechanical Engineering, and Scientists to meet customer requirements. Problem Solving and Innovation: • Evaluate customer problems, troubleshoot issues, and assist Field Service Engineers with problem resolution., • Drive innovation by researching and integrating best practices to develop cutting-edge solutions. Business Development Support: • Assist with business development efforts, including initial concept solutioning/architecting, conops, estimating, and technical bid and proposal work., • Evaluate and explain tradeoffs between cost, quality, and speed of delivery to less technical members of the business development team. Customer Interaction: • Interact with customers of varying technical levels to explain and defend approaches, limitations, and solutions., • Answer technical questions and work collaboratively with customers to develop solutions that meet their needs. Project Estimation and Sustainability: • Develop project estimates for budgeting and scheduling, including allocations for sustaining engineering, obsolescence management, and technical debt remediation., • Evaluate and recommend technical directions for sustaining and obsolescence activities to ensure long-term product viability., • Incorporate forward-thinking strategies into estimates to support sustainable product lines and reduce long-term risks. Communication and Reporting: • Communicate proactively and effectively within a small cross-functional development team environment., • Report project status and issues to management as required Required Skills: • BS Degree and 12+ years of experience or Masters Degree with 10+ years of experience. May consider additional years of experience in lieu of a degree., • Must have the ability to obtain a Public Trust clearance., • Strong programming background with production product development experience in C# required., • Mastery of object-oriented design (OOD) principles and practices., • Proven experience in software architecture and leadership roles., • Expertise in Agile methodologies, including TDD and Continuous Integration., • Ability to create design documentation, requirements specifications, and other technical documentation., • Strong troubleshooting and bug-fixing skills., • Effective communication and collaboration skills in cross-functional team environments., • Ability to explain technical tradeoffs and solutions to non-technical stakeholders., • Experience developing project estimates for budgeting and scheduling, including allocations for sustaining engineering and technical debt remediation., • Must be willing to travel abroad. If travel is necessary, typically it will be < 10%. Desired Skills: • Proficiency with AI-based software development tools., • Experience developing software that complies with industry security standards., • Experience identifying code smells and utilizing refactoring techniques to reduce entropy in the codebase., • Proficiency with UML and documented design methodologies., • Experience with revision control (e.g., Git), multi-threading, TCP/IP networking, bus architectures, Web Services, Blazor, containers (e.g., Docker), Visual Studio, C++, SQL Server, and interfacing with real-time/embedded systems., • Knowledge of image processing techniques. Check out the links below to learn more about Security Enterprise Solutions (SES) We’re not looking for perfectly polished resumes or perfect fits. We’re looking for people who break limits, ask hard questions, and don’t wait to be told what’s next. At Leidos, we’re not following the roadmap — we’re redrawing it. November 4, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $126,100.00 - $227,950.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. What you get to do in this role: The AI Insights Specialist is responsible for defining, planning & leading programs for the development of AI solution insights and best practices for our customers and partners to solve complex business challenges. This role requires a good understanding of AI and machine learning, as well as the ability to work effectively with cross-functional teams to deliver solutions that meet the needs of our internal stakeholders, customers, and partners. The AI Insights Specialist will also be responsible for managing customer use cases, value realization, AI governance practices, and engagements during the program lifecycle; ensuring that our customers are satisfied with our deliverables and that they are getting the most out of their AI investments while at the same time ensuring learnings are captured for scale teams. The AI Insights Specialist is responsible for overseeing the successful delivery of the defined customer-based deliverables to meet the adoption needs of key stakeholders, and collaborating with the customer project team and partners. The AI Insights Specialist ensures proper governance and support from team members, addressing risks and issues. This role will also assemble and lead the ServiceNow cross-functional resources, track progress, and manage any deviations. Key responsibilities include: • Developing groundbreaking AI insights deliverables in the sphere of value, AI governance, and risk mitigation; and providing consultative and strategic deliverables on how fast following organizations can adopt Gen AI solutions., • Understand customer adoption trends, aggregate these trends across 20+ customers, and develop best practices guidance for the next wave of Gen AI adopters., • Understand Partner needs for implementing cutting edge Gen AI solutions, and keep pulse on emerging trends from both customers and partners as it relates to adoption practices and use case deployment., • Proactively participate in customer engagement governance, timeline, scope, risk, change management, resourcing, reporting, and financials. The AI Insights Specialist also provides regular updates to both customers and internal executive teams. They work with cross-functional projects, senior-level executives, and customers to deliver a unique set of guiding principles., • The AI Insights Specialist acts as a thought leader, curating best-in-class advisory guidance across customers spanning multiple geographies and industries. They facilitate collaboration, decision-making, develop the path forward for scaled adoption. Coaching and managing team members to enable achievement of learnings from both the customer and the internal project team., • A blend of technical expertise, management or advisory consulting experience, aptitude for storytelling, project management skills, and excellent communication abilities, • 5+ years in Customer Engagement, Marketing, or Program management roles, • Skills in business relationship management, • Prior experience with implementing, developing strategy for, or supporting ServiceNow products in an Enterprise, • Strong cross-functional, technical Program & Product and/or Marketing Management experience a plus, • Quick learner with the ability to pick up tools, systems, processes and stays up-to-date on the latest AI and machine learning trends, • Leading key programs & projects, including strategic customer programs within a fast-paced environment, • Ability to independently manage complex program objectives, • Experience with analytics and understanding of metrics and KPIs, • Facilitation skills in leading meetings, reviews, retrospectives, and customer workshops, • Strong customer orientation and the ability to anticipate and act, • Deep curiosity about customer needs and building customer relationships For positions in this location, we offer a base pay of $158,500 - $277,500, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. ___. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact ___for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. This position reports to: Director of Outbound Product Management – Financial Services, Customer and Industry Workflows Company: Work matters. It’s where we spend a third of our lives. And the workplace of the future is going to be a great place. We’re dedicated to bringing that to life for people everywhere. That’s why we put people at the heart of everything we do. People matter. Our people have a passion for learning, building, and innovating. Whether you’re an engineer, a sales professional, a finance professional, or anything in-between, our roles aim to provide each person with meaningful impact and plenty of space to grow. The Team: The Customer and Industries Workflows business unit products enable organizations to create seamless customer experiences and drive fierce customer loyalty. Our products, Customer Service Management, and Field Service Management, and Industry verticalized solutions such as Financial Services, deliver omnichannel customer engagement and operations while uniting the front, middle, and back office financial services teams to resolve issues faster, and drive great experiences through our products. The Role: Outbound Product Managers are key to help us scale as we continue to be one of the fastest-growing business units at ServiceNow. Outbound Product Managers combine a deep understanding of product capabilities, and market and competitive dynamics, with a passion to inform roadmap and help our GTM, partner and customer ecosystem understand the value delivered. What you get to do in this role: The goal is to create high-quality enablement content that highlights the value of product innovations, particularly focusing on workflows and task orchestration for service teams and supporting departments. This includes developing a deep understanding of customer use cases and success outcomes to help influence the product roadmap. By documenting these insights, you can ensure alignment with customer needs and expectations. Additionally, creating best practices assets will support product adoption among customers and partners. As a trusted resource, you’ll promote the product vision within the financial services industry, collaborating with industry influencers, strategic partners, and influencer firms. Close coordination with Inbound Product Management, Product Marketing, Product Success, and Technical Alliances is crucial to defining product strategy, release themes, and go-to-market plans, ensuring smooth execution across all teams. Ultimately, guiding cross-functional teams will be essential to accomplishing these shared goals. Qualifications • 12+ years of Product Management or related experience, • Deep experience with CRM or BPM applications, specifically data models applied across multiple industry verticals or related is required, • Experience as a Developer or Functional Consultant is a plus, • Deep GTM experience, • Must have a strong customer orientation, • Must has PaaS/SaaS experience, • Must have experience working with industry influencers to evangelize the product, • Very strong written and oral communication skills; able to write GTM content, • Must have a ServiceNow Certification or is currently working to get one For positions in this location, we offer a base pay of $181,100 - $316,900, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. ___. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact ___for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Work Matters It’s where we spend a third of our lives—and the workplace of the future should be a place where people thrive. That’s why we put people at the heart of everything we do. People matter. Our teams are driven by a passion for learning, building, and innovating. Whether you're in engineering, sales, finance, or another function, every role is designed to create meaningful impact and provide room to grow. Core Platform Business Unit Core Platform is a global organization made up of hundreds of Software Engineers, Quality Engineers, Product Managers, Designers, Strategic Operations, and Leaders. We deliver best-in-class performance, resiliency, scalability, and security for over 8,400 customers, including more than 85 percent of the Fortune 500, with a 98 percent renewal rate. As the foundation of the Now Platform, Core Platform powers Runtime and Development capabilities that digitize workflows across departments and critical systems. We help enterprises: This specific team is within Telemetry group that belongs in the Platform Core Experiences. Responsible for collecting, processing, and displaying performance data at scale for internal and external needs. This position reports to: Director Inbound Product Management Platform Analytics Vision & Strategy Development • Define and drive the strategic vision for enterprise performance telemetry across all platforms and environments (cloud, on-prem, mobile, etc.)., • Develop a comprehensive 3-year roadmap that aligns with company goals and user needs, focusing on scalability, reliability, and data visibility., • Partner with executive leadership to prioritize strategic initiatives that support innovation, operational excellence, and customer satisfaction., • Collaborate with Engineering, Design, and QE teams to define desired product outcomes, success metrics, and acceptance criteria., • Lead release planning activities including epic and user story creation, backlog grooming, sprint planning, and stakeholder demos., • Ensure telemetry solutions are highly performant, secure, and seamlessly integrated into existing workflows., • Actively engage with customers, partners, and internal stakeholders (e.g., SRE, Support, Customer Success) to capture feedback and identify pain points., • Translate user insights into actionable product requirements and enhancement opportunities., • Lead customer discovery sessions and proof-of-concept initiatives to validate new telemetry capabilities and UX flows., • Act as the subject matter expert on telemetry best practices and observability tooling across the organization., • Evangelize the use of telemetry data to drive operational decisions, improve reliability, and optimize system performance., • Collaborate with Product Marketing and GTM teams to communicate the value and competitive differentiation of new telemetry capabilities., • Contribute to technical documentation, release notes, and internal training to support product adoption and stakeholder alignment. To be successful in this role you have: • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry., • 7+ years Experience leading and developing data intensive applications specifically in application performance monitoring, observability, or AI monitoring, • Strong understanding of tradeoffs in building data intensive applications including tradeoffs on collection, transport, storage, and query., • Navigate, manage and align a matrixed organization that involves internal and external data needs, • Strong domain expertise in application performance monitoring and observability, • Working knowledge of Open Telemetry Protocols, collectors, and exporters For positions in this location, we offer a base pay of $147,300 - $257,800, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. ___. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact ___for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

We're Celonis, the global leader in Process Mining technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing data and intelligence at the core of business processes - and for that, we need you to join us. The Team: Celonis USA is the premier division of ___ ($12B valuation, 3k employees). Come help us grow with a friendly team led by experienced ex-Google coworkers to design and build new, simplified frontends. You’ll encounter a variety of technical challenges and work closely with PM and UX partners to build best in class user experiences. You’ll present big data in creative and insightful ways while bringing the next generation of Celonis to all of our customers. Join us if you want to grow in your engineering knowledge, career and leave your mark on a rapidly growing company. The Role: As a Full Stack Engineer, you’re responsible for delivering beautiful experiences to ___ users. You will be at the frontier of full stack development, pushing the boundaries of product, UX, and engineering to quickly grow our EMS platform with easy to use experiences. Users need help categorizing and simplifying their data in order to explore and identify insights to optimize their unique business processes. We are building the next generation of process insights with ___ to help them save time and money. If you are looking to be challenged and build solutions that scale, Celonis is the environment for you to thrive. There are a variety of tech stacks at Celonis, including but not limited to Angular, Typescript, Java Spring Boot, Vertica DB and more. We focus on building beautiful, extensible, performant and reliable applications. Your work at Celonis will directly impact companies and people around the globe as they improve their processes to save money, reduce waste, improve automation and generally become more efficient. For example, Celonis can help a company understand their carbon footprint in order to reduce CO2 emissions and deliver a healthier planet for future generations. The work you’ll do: • Design and implement large, complex new features in Angular TypeScript, • Lead projects with frontend technologies and architectures, • Develop servers using Java Spring Boot, • Recognize and take action to improve the developer work environment (Nx, Jest, OpenAPI, Docker, shell, etc), • Play an active role in product discussions and shaping the roadmap, • Contribute to and extend the core architecture and components, • Drive application performance improvements for big data, • Set an example for and mentor and grow your teammates, • Write clean, understandable, and testable code, • Provide feedback on the designs and code of peers, • Build, launch, and maintain features in production, • Help define a fun and inclusive engineering culture The product you’ll work on: • You’ll help build the next generation of process mining!, • Has features that make it easier to model customers processes in ways that match business reality, • Enable automatic insights by using Celonis’s process catalog to automatically tag customer data, • Allow the user to add semantic meaning to their business graph which they can then query in milliseconds, • Partner with our AI/ML teams to suggest modeling steps that save users time modeling their complex source data, • Build towards enabling all-of-business process insights, • High visibility to sales & executive leadership The qualifications you’ll typically need: • Bachelor’s degree or equivalent practical experience, • 5+ years of product development experience, • Experience leading cross-team engineering projects, • Experience working closely with product and and other stakeholders, • Strong communication and collaboration skills, • Passion and motivation to learn and grow as a software engineer, • Preferred experience:, • Angular & TypeScript, • Java Spring Boot Visa sponsorship is not offered for this role. The base salary range below is for the role in the specified location, based on a Full Time Schedule. Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location.The base salary range below is for the role in California, based on a Full Time Schedule. $165,000—$210,000 USD What Celonis Can Offer You: • Pioneer Innovation: Work with the leading, award-winning process mining technology, shaping the future of business., • Accelerate Your Growth: Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities., • Receive Exceptional Benefits: Including generous PTO, hybrid working options, company equity (RSUs), comprehensive benefits, extensive parental leave, dedicated volunteer days, and ___., • Prioritize Your Well-being: Access to resources such as gym subsidies, counseling, and well-being programs., • Connect and Belong: Find community and support through dedicated inclusion and belonging programs., • Make Meaningful Impact: Be part of a company driven by strong ___ that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future., • Collaborate Globally: Join a dynamic, international team of talented individuals., • Empowered Environment: Contribute your ideas in an open culture with autonomous teams. About Us: Celonis makes processes work for people, companies and the planet. The Celonis Process Intelligence Platform uses industry-leading process mining and AI technology and augments it with business context to give customers a living digital twin of their business operation. It’s system-agnostic and without bias, and provides everyone with a common language for understanding and improving businesses. Celonis enables its customers to continuously realize significant value across the top, bottom, and green line. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this ___. Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ ___ Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our ___. Please be aware of common job offer scams, impersonators and frauds. Learn more ___.

___ is building the world’s first purpose-built blockchain for ___—bringing domain tokenization and DeFi primitives to a massive, rapidly growing $350B+ real-world asset class. We’re revolutionizing how existing and future domain names are owned, traded, and leveraged in the digital economy. Our elite team is stacked with industry veterans who have spent the last three decades shaping the internet, from pioneering domain name monetization to architecting key internet protocols to launching and running major TLDs like .xyz, .inc, .tv, and .link. With a proven track record of innovation and success, we’re now redefining what’s possible in the domain space. We recently closed a ___ - one of the best investors in the industry. This will help fuel our mission to bring domains fully on-chain and unlock new financial possibilities for one of the internet’s most valuable asset classes. We’re based in Los Angeles, with team members all over the world. We’re looking for driven, talented builders to help build a trillion-dollar DomainFi economy. Join us! This is a hybrid role in Los Angeles where you’ll help build the next generation of user-facing web applications that connect traditional DNS with Web3 naming systems. As a Frontend Engineer (Entry Level), you’ll work closely with senior engineers to design, develop, and optimize interfaces for our registrar, marketplace, and decentralized apps (dApps). This is a great opportunity for recent graduates or junior engineers to gain hands-on experience in both Web2 and Web3 technologies while contributing to products that shape the future of internet naming. • Work with product and design teams to turn requirements and wireframes into functional, user-friendly features., • Build and maintain frontend components using React, Next.js, TypeScript, HTML, and CSS., • Help develop decentralized applications (dApps) that integrate Web2 and Web3 APIs., • Write clean, testable code and contribute to unit and integration testing., • Fix bugs, improve performance, and optimize existing features with guidance from senior engineers., • Learn and apply best practices in accessibility, SEO, and responsive design., • Stay curious about new technologies and contribute ideas to improve user experience., • Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience)., • 0–2 years of experience in frontend development (internships, projects, or open-source work all count)., • Familiarity with modern JavaScript frameworks (React preferred)., • Basic understanding of HTML, CSS, and responsive design., • Exposure to Git version control and collaborative coding practices., • Interest in blockchain/Web3 technologies is a plus, but not required—you’ll learn on the job., • Strong problem-solving skills, eagerness to learn, and ability to work in a team environment., • Experience with CSS frameworks (e.g., Tailwind CSS, Bootstrap)., • Exposure to Web3 libraries like ethers.js or web3.js., • Familiarity with mobile-first design and accessibility principles., • Previous coursework, projects, or internships involving blockchain, NFTs, or dApps. Ground-Floor Growth, Learning, and Impact: D3 is your chance to dive headfirst into an ultra-early-stage company where every move you make truly matters. You’ll have the opportunity to sharpen your skills, expand your expertise, and shape the foundation of something groundbreaking. Almost everything we’re building today at D3 is “zero-to-one,” meaning you’ll be among the first to craft, refine, and launch key initiatives that define our future success. Strong, Proven Leadership: At D3, you’ll work alongside industry visionaries who have been there, done that, and are ready to do it again—only bigger. Our leadership team brings veteran industry experience, sharp insights, and a relentless drive to do big things across every function at D3. You’ll gain invaluable mentorship, develop a high-impact mindset, and be challenged to grow in ways you never imagined. Unique Market Positioning – We’re pioneering at the intersection of internet infrastructure, real-world assets, and blockchain communities, creating solutions that redefine what’s possible in Web3. If you want to push boundaries, solve complex problems, and be part of a team that’s shaping the future of the Internet, D3 is the place to do it.

Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on ___ and ___, and discover the projects we’re solving on our ___. Be sure to explore our ___ to learn how to ace our interview process. We're seeking a Senior Product Manager to lead our onboarding and safety initiatives, making account management a strategic tool for platform growth while maintaining user safety and trust. You'll work at the intersection of user experience, regulatory compliance, and community health to protect our most vulnerable users while enabling seamless platform access for millions of creators and viewers worldwide. This role sits within our Health organization and requires deep expertise in trust & safety product development, including age assurance, parental controls, and complex compliance requirements. You'll balance user friction with necessary protections, ensuring Twitch remains a safe space for all communities. You can be based out of one of the Twitch offices including San Francisco, Seattle, Los Angeles, Irvine, or New York City. • Own and develop account-related features that drive both growth and user safety across all user segments, • Design and implement complex user flows for age assurance, parental controls, and passwordless authentication experiences, • Ensure compliance with global safety and health regulations including COPPA, GDPR-Age, UK Age Appropriate Design Code, and emerging legislation, • Lead strategy for age verification and minor protection features, setting the standard for how Twitch protects young users, • Balance user friction with necessary data collection to optimize for both safety outcomes and platform growth, • Drive platform health through strategic account management decisions that impact millions of users, • Partner closely with community product, design, engineering, legal, policy, trust & safety, and data teams to deliver comprehensive solutions, • Translate complex regulatory requirements into actionable product requirements and elegant user experiences, • 8+ years of product management experience, with at least 4 years focusing on trust & safety, community health, or user protection products at consumer platforms (we count time as engineer as PM time), • Proven track record developing authentication systems, content moderation tools, user protection features, and/or community health products at scale, • Deep understanding of online safety regulations and compliance requirements across multiple jurisdictions, • Demonstrated ability to balance competing priorities: platform growth, user trust, safety needs, and regulatory compliance, • Experience managing complex multi-stakeholder initiatives involving policy, legal, trust & safety experts, and community health teams, • Strong understanding of nuanced user behavior, community standards, and varying safety needs across different user segments and age groups, • Excellent communication skills and ability to influence senior leadership on safety-critical decisions, • MS/MA or MBA in a technology or business related field, • Background in authentication systems or identity verification, • Hands-on experience from major consumer platforms tackling age assurance or minor protection at scale, • Experience implementing COPPA, GDPR-Age, or other child safety compliance frameworks, • Proficiency in SQL and data-driven decision making, • Previous work in gaming, social media, or live streaming platforms, • Experience with customer experience (CX) and creator tools (CT) teams, • Medical, Dental, Vision & Disability Insurance, • 401(k), • Maternity & Parental Leave, • Flexible PTO, • Amazon Employee Discount Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Job ID: TW9021 Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit ___. Applicants should apply via our internal or external career site. US Pay Per Year $136,100 - $235,200 USD Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Twitch values your privacy. Please consult our ___, for information about how we collect, use, and disclose personal information of our candidates.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. The Team The CRM and Industry Workflows business develops products that enable organizations to harness the power of the whole company to serve the customer. Our products include industry-specific offerings for Technology, Telecommunications, Financial Services, Healthcare, Manufacturing, Retail, and Public Sector, built as extensions of our core – Customer Service Management (CSM), Field Service Management (FSM), Configure Price Quote (CPQ) and Sales & Order Management (SOM). These products drive exceptional customer experiences by uniting front, middle, and back office on a single platform, enabling organizations to sell, fulfill and service customers faster and at a lower cost. The Role As a Principal Outbound Product Manager in the CSM Outbound Product Management team, you will be key to scaling our go-to-market efforts in one of ServiceNow's fastest-growing business units. Your focus will be on the agent experience – a unified digital workspace where customer service agents have all the tools, information, and automation they need in one place to help customers faster and more effectively. You will leverage deep expertise in customer service management and CRM software to bridge the gap between products and market, focusing on customer adoption and success through sales enablement, partner education, and strategic customer feedback that informs product development. What you'll do: * Drive go-to-market strategy for Customer Service Management products (with a specific focus on the agent experience), collaborating with Inbound Product Management, Sales, Marketing, Support, and Pricing Strategy * Develop enablement content that communicates product value and innovation * Lead pricing and packaging initiatives in collaboration with BU stakeholders and corporate pricing to optimize adoption of new products * Execute product launch strategies with cross-functional stakeholders and leadership * Influence product roadmap through deep understanding of customer use cases and success outcomes * Create adoption resources including best practices assets for customers and partners * Build external relationships with industry influencers, strategic partners, and analyst firms to promote ServiceNow's vision * Lead cross-functional teams to achieve business objectives To be successful in this role, we need someone who has: * 8+ years of Product Management or related experience * Functional and technical knowledge and experience in customer service or CRM PaaS/SaaS is a must * Extreme sense of ownership – own the problem, the process, and the outcome. Some things may need “driving by influence”, others may need executing yourself, and others may need delegation * Strong bias towards action, and a sense of urgency to “win” in the market * Excellent people and presentation skills to engage with all levels of customers, partners, colleagues, and cross-functional teams * Outstanding written and oral communication skills For positions in this location, we offer a base pay of $187,600 - $328,300, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. ___. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact ___for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Work Matters It’s where we spend a third of our lives—and the workplace of the future should be a place where people thrive. That’s why we put people at the heart of everything we do. People matter Our teams are driven by a passion for learning, building, and innovating. Whether you're in engineering, sales, finance, or another function, every role is designed to create meaningful impact and provide room to grow. The Team: Core Platform Business Unit Core Platform is a global organization made up of hundreds of Software Engineers, Quality Engineers, Product Managers, Designers, Strategic Operations, and Leaders. We deliver best-in-class performance, resiliency, scalability, and security for over 8,400 customers, including more than 85 percent of the Fortune 500, with a 98 percent renewal rate. As the foundation of the Now Platform, Core Platform powers Runtime and Development capabilities that digitize workflows across departments and critical systems. We help enterprises: This specific team is within the Telemetry group that belongs in the Platform Core Experiences. They are responsible for collecting, processing, and displaying performance data at scale for internal and external needs. This position reports to: Director, Inbound Product Management - Platform Analytics What you get to do in this role: Vision & Strategy Development • Define and drive the strategic vision for enterprise performance telemetry across all platforms and environments (cloud, on-prem, mobile, etc.)., • Develop a comprehensive 3-year roadmap that aligns with company goals and user needs, focusing on scalability, reliability, and data visibility., • Partner with executive leadership to prioritize strategic initiatives that support innovation, operational excellence, and customer satisfaction., • Collaborate with Engineering, Design, and QE teams to define desired product outcomes, success metrics, and acceptance criteria., • Lead release planning activities including epic and user story creation, backlog grooming, sprint planning, and stakeholder demos., • Ensure telemetry solutions are highly performant, secure, and seamlessly integrated into existing workflows., • Actively engage with customers, partners, and internal stakeholders (e.g., SRE, Support, Customer Success) to capture feedback and identify pain points., • Translate user insights into actionable product requirements and enhancement opportunities., • Lead customer discovery sessions and proof-of-concept initiatives to validate new telemetry capabilities and UX flows., • Act as the subject matter expert on telemetry best practices and observability tooling across the organization., • Evangelize the use of telemetry data to drive operational decisions, improve reliability, and optimize system performance., • Collaborate with Product Marketing and GTM teams to communicate the value and competitive differentiation of new telemetry capabilities., • Contribute to technical documentation, release notes, and internal training to support product adoption and stakeholder alignment. To be successful in this role you have: • 8+ years of experience leading and delivering data-intensive applications in application performance monitoring, observability, or AI monitoring., • Master’s degree with 6+ years or PhD with 3+ years equivalent, • Expertise in the performance domain—balancing tradeoffs in data collection, transport, storage, and query at scale., • Ability to navigate and align a matrixed organization with diverse internal and external data needs., • Strong domain knowledge of application performance monitoring and observability tools (e.g., New Relic, Datadog, Dynatrace, Splunk, Grafana), • Working knowledge of Open Telemetry Protocols, collectors, and exporters, • Experience with data collection, warehousing, and query solutions for large-scale environments., • Proven track record leading and running Scrum teams in an Agile environment—driving backlog prioritization, sprint execution, and cross-functional collaboration., • Experience in AI Agent observability is highly preferred. For positions in this location, we offer a base pay of $147,300 - $257,800, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. ___. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact ___for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

wordware brings structure, joy, and trust to human/AI collaboration. we make AI app development as simple as writing a document. if you can explain your application in words then you can build it with wordware. our natural language editor is enhanced with powerful features from the world of programming; conditional statements, loops, functions, multi-agent communication. you can build and test AI flows instantly, see results in real-time, iterate fast, deploy in a single click. no code required! with access to every public AI model and thousands of API integrations, you can design truly context-aware AI applications and agents. wordware takes the transformative power of AI, connects it with the tools you already use, and builds it seamlessly into your life and work. p.s. pls don't use zero prompt ai in your answers, we get enough of these to know immediately 😂 tl;dr we need someone who can build fast, think big, and doesn't mind wearing multiple hats. you'll be crafting the foundation of an ai development platform used by hundreds of thousands of builders. if you've ever wanted to see your code shape an entire industry, this might be your jam. the bigger picture: we're not just talking to traditional developers. we're reaching the next 500 million people who will be "coding" with plain english - lawyers, designers, product managers, founders, and domain experts of all kinds. our product needs to thread an impossible needle: deep enough for engineers, accessible enough for everyone else, and compelling enough to show both groups why this matters. what you'll actually be doing: * architecting stuff that matters: * collaborative ide for ai development (think google docs meets vscode) * real-time multi-user editing with y.js * llm orchestration that actually works * crafting the foundations of AI agents that no-one has solved yet * writing a ton of code (mostly typescript/next.js) * keeping our stack running smoothly (aws/cloudflare) * talking to users when they break things * sometimes making product decisions on the fly * solving hard problems, for example: a core part of wordware is the executor that interprets the wordware schema to run the agents. these agents can have arbitrarily long duration especially when they request input from a human. they also need to have extremely low latency for the realtime case. plus be highly reliable. oh, and they need to be traceable and debuggable by our end users and scale from zero to thousands in a matter of seconds. you should probably: * have built real things that real people use (4+ years) * be comfortable with our stack: * typescript + next.js + react * tiptap + y.js for collab * all the llm apis (openai, anthropic, mistral, etc) * actually enjoy the chaos of startup life * have experience building with AI - an “AI engineer” * fix things without being asked * care about users more than your code * it’s a bonus if you have been a founder/cto in the past, currently all engineers raised VC but we are okay to branch out real talk: * sf only, lots of work, meals at the office * you'll be shipping to production day 1 * sometimes you'll build features without full specs - you’ll need to uncover the unknown requirements * you might have to make ux decisions when designers/founders are busy * your code will impact hundreds of thousands of developers * yes, we actually do crossbow competitions if you've ever: * built something complex from scratch * wished you could fix developer tools * wanted to shape how ai is built ps: we're backed by spark capital, felicis, and y combinator ($30m seed — biggest out of YC round) but we still work like a seed startup. and yes, the office will have a sauna and be 30m from the sea 🥵